Transcript for:
Chat GPT Tutorial Overview

by now you might already started using chat GPT but what if I told you that at the end of this video you will be a chat GPT Pro supercharged with all you need to know to make chat GPT do everything for you in a fraction of the time that you would spend [Music] otherwise Welcome to our comprehensive chat GB tutorial where we will dive into the basics followed by the different chart gbt versions there are tons of other applications the chapters for all the segments are added in the description so feel free to skip to the section that appeals to you the most let's spend a couple of minutes doing a slightly detailed walk through of what to expect out of this tutorial we will begin with the basics of chat GPT then dive into the world of generative AI large language models and how GPT fits into this existing exciting landscape we will also explore how chat GPT Works across devices we will walk through its interface and diverse uses and applications but that's not all we will also discuss chat gpt's limitations ensuring you have a balanced understanding of this technology next we will discuss the evolution of chat GPD from version 3.5 to its latest versions 4 and 40 and guide you through using chat GPT 40 for free additionally we will explore the art of prompt engineering a crucial skill for effectively using chat GPT we will explore how chat GPT can be a coder's best friend guiding you through building python apps and websites using chat gbd4 we will also explore its applications in natural language processing NLP Additionally you will learn how to use chat GPD for x ex and Microsoft PowerPoint enhancing your productivity and presentation skills we will also focus on chat GPT for digital marketing and finance providing insights on leveraging AI for Effective strategies finally we will walk you through creating a custom GP model in chat GPT for those those seeking a more personalized touch so why wait Empower yourself with chat GPT today imagine having a chat with an AI that feels like talking to a real person that's what chat gbt does chat gbt stands for chat generative pre-trained Transformer developed by open AI it is an artificial intelligence model based on the technology called Transformer which is particularly good at processing and generating humanlike text it's a version of what's known as language model because it can predict and generate sequences of words based on the input it receives now let's dive into some of the buzzword you have likely heard about generative AI large language model that is llms and GPT these terms might sound complex but they form the foundation of how child GPT works in the next few segments we will break down these Concepts in an easy to understand way so you can grasp the magic of the technology behind chat gbt let's get started so let's start with quickly understanding the evolution of computers when the computers were created they were created as calculating machines for mathematicians and bookkeepers then it evolved to understanding programming languages so that it can understand instructions human instructions but now it has evolved to incorporating humanlike intelligence as well as creativity mimicking humanlike intelligence is nothing but artificial intelligence and and artificial intelligence combined with creativity is nothing but generative AI so let me make you understand with a very simple example what is generative AI transport yourself back to your childhood you had a lot and lot of toys to play with you would keep that toys in one box now also imagine that if you wanted some toy which is different you would not get in the market but what if I tell you that this box is a magical box and if you input your understanding of what you want in your new toy with instructions it can create a new toy for you which is not available in the market now this toy can be a beer with unicorn features and wings what if it generates for you this magical box generates Ates a toy which is very unique for you this magical box is nothing but generative AI generative AI actually is not a magic it's a fast and rapidly evolving artificial intelligence system which creates generates transforms content that can be text video audio image Etc based on your input so if you want to understand it technically generative AI or gen AI functions by employing a neural network to analyze data patterns and generates new content based on those patterns neural networks are nothing but a mimicry or a replication of your biological neuron based on how it gets from brain the activity from brain and you do your work it's nothing but a mimic M of that based on that mimicry it analyzes data patterns and generates new content for you let's Now quickly see what is the difference between discriminative and generative AI suppose you have a data set of different images of dogs cats you provide this as a input to your discriminative AI which acts like a judge and it classifies is all this into set of images between cats and dogs this is discriminative AI it classifies now let's understand what is generative AI you have the similar set of cats and dogs but now your generative AI is acting like an artist it creates a new species of dogs for you that's why generative AI is nothing but AI system that transform creates generates your own content based on your instructions like an artist now that you have understood what is discriminative AI and what is generative Ai and what is the difference between the two let's understand why is generative AI or gen AI trending gen AI has impacted various Fields be it text audio video any input and those inputs in various domains like data management Tech Healthcare and entertainment it has creative application such as Del chat GPT where you can input what you want and get output from it for example if you want to create an image what you think or perceive as a concept and you want it you give a prompt for your generative AI model and it will create that that image for you so your input is a text but your output is an image that's why it's trending it does not depend how traditional AI is dependent on what form of input you give the same form would be your output however gen AI works on your inputs on your instructions that's why it's trending it is impacting a lot of fields be it creative field be it research field be it business professionals are using tools like chat GPT to create or generate code so that they can create something new the researchers are actually developing new and new large language models based on which we can create new generative models and can do new and new task each and every day that's why generative AI is evolving rapidly and that's why is close to Magic for everyone now that you have understood why it is trending now let's understand how it works we give an input to generative models gen AI works on generative models we give an input it can be text audio video any format those generative models are then preened on the data and they are fin tuned to do the task that you want it can be Tech summarization it can be sentiment analysis it can be image generation it can be audio generation for your YouTube channel or analyzing your customer feedback if you are a brand or a marketing firm it can create codes whatever you want you give a prompt what you want explaining it that what you want and it fine tunes and gives you that task for you so this is how in nutshell generative AI model works so now let's see what are the different types of generative AI first one is generative adversarial Network Gans it's a type of AI where two models one generating the content and one judging it work together to produce realistic new data second is variational autoencoders this AI learns to recreate and generate new similar data third is Transformers Transformers is an AI which learns to produce sequences using context fourth is diffusion model which generates data by refining noisy starting until it looks realistic now that you have understood what are the different types of generative AI let's quickly watch work through different applications of generative a app first one is content generation it creates it generates whatever textual or any code that you want customer support and engagement if you are brand firm it helps you with that data analysis and data science it helps with visualization it helps with analyzing any data it be it any data you want you are a brand firm or you are a technology firm it will help you analyze your data and create new automated task for you or it would create new perceptions for you to take over then it is code generation and software development we have research and information retrieval as well where it helps different researchers it helps different professionals to grow and retrieve extract information required from different or various data sources then we have machine translation if you are a person who do not understand a language and you're watching something or reading something which is in different language you can use generative models to translate text or audio or anything into the language that you require then we have sentiment analysis which actually takes feedbacks or any text that you have to give you is it a positive negative or neutral sentiment and so that you can analyze and take decisive decisions other domains here include Healthcare transport everywhere it helps generative models generative AI is helping each and every domain in their perspective how they are applying this technology change in their domain so let's Now quickly conclude what we have learned in this video we learned AI is a super set we have a subset called machine learning which trains your machines to do what you want but there the machines need your input deep learning is a subset of machine learning which incorporates neural networks which mimics your neurons so that it can imitate human intelligence then comes generative AI which involves creativity introduces creativity in artificial intelligence system then comes large language models large language models are basic bits that you will learn in our upcoming videos so stay tuned just before we conclude let me tell you different generative AI tools which are in the market and which you can explore some of it are charity by open AI clawed by anthropic AI co-pilot by GitHub Gemini by Google you can go and explore the world however stay tuned to our our channel so that you can learn more about generative AI large language models prompt engineering and several different buzzwords that are there in the system what exactly is an llm imagine you have a super smart friend who has read every book article and blog post in the world this friend can chat with you about almost anything help you with your homework write stories and even tell you jokes that's pretty much what an llm does in technical terms an llm is a type of artificial intelligence that has been trained on vast amounts of data it can understand and generate humanik text based on the pattern it has learned from all that reading this is part of a broader field called generative AI which focuses on creating content that resembles human output let's now break down the basics large language and model large just means that the model has been trained with a massive amount of data we are talking about billions of words from books websites articles and more model refers to a set of instructions or algorithms that helps the AI understand and generate language think of it like a recipe that guides how to make a cake in this case it is guiding the AI on how to create meaningful text let's talk about language this is all about words sentences and how we communicate when you text your friends write an email or post on social media you are using language so now that you understand what each word in llm stands for let's quickly see what is the technical definition llms are language models made up of neural network with billions of parameters that are trained by selfs supervis learning on vast amounts of unlabeled text now let's dive into how do llms work let's simplify this with an example imagine you type the sky is dash dash dash the llm might predict the next word to be blue because it has seen that phrase so many times during its training large language models like gp4 operate based on complex neural networks trained on vast amounts of Text data here is a simplified explanation of how they work in two phases the first phase is the training phase followed by the inference phase the training phase has four steps step one data collection that is gathering diverse text Data from various sources step two pre-processing which means cleaning and tokenizing Text data in into numerical representations step three model architecture which is nothing but designing the neural network structure typically a Transformer step four training is adjusting model parameters by predicting the next word in sentences by this training phase the llms are being trained on vast amount of data to do further predictions now now coming to the next phase which is inference phase it also has four steps step one input processing that means tokenizing and converting the input text into embeddings step two generating output Now using the model to predict and generate the next words step three sampling which is selecting words from predicted probability distribution step four last but not the least postprocessing which means converting generated tokens back to readable text after the training phase in the inference phase the llms will recognize the pattern sample content and give predictions apart from these steps there are three key Concepts which we should know to demystify llms First attention mechan ISM this allows the model to focus on relevant part of the input text improving its understanding of context and meaning second embeddings which are numerical representation of words or tokens that capture their meaning and relationship third Transformers Transformers are the architecture that you uses self attention to process input data in parallel making it efficient and more powerful let's see some examples of llms in action example one chatting your prompt can be what is the capital of Japan llm replies the capital of Japan is Tokyo llm knows this because it has read a lot of information about countries and capitals let's say example two about writing your prompt can be can you help me write a story llm says sure once upon a time in a land far away there was a brave knight who dash dash dash the llm can generate creative text based on what it has learned from reading stories example three let's see answering questions your prompt can be explain photosynthesis in simple terms llm replies photosynthesis is a process by which plants use sunlight to make food from carbon dioxide and water it simplifies complex Topics by using the patterns it has learned from educational content there are different types of llms each designed for specific task and application now let's explore these types first are base models they are trained on a wide range of data and can perform General language understanding and generation task they aren't specialized for any particular type of instructions but are versatile for example gpt3 which is known for its versatility and ability to generate coherent and contextually relevant text another type is instruction based models they are fine-tuned to follow Specific Instructions better than base models they can understand and execute tasks based on detailed prompts given by the user for example T5 that is text to text transfer Transformer it converts all NLP problems into a textto text format making it highly versatile for tasks like translation summarization and question answering another example is instruct GPT which is tailored to follow specific user instructions better and provide more useful and safe responses so these were the types of llms however there are paid and open-source llms as well in the market based on your usage and budget you can explore them some paid llms are gbt440 Microsoft Azure open AI Services Etc and open source are GPT Neo Bert Etc let's see how are llms revolutionizing the world of AI in education they can help explain difficult Concepts and answer questions and even tutor students in content creation they assist writers marketers creators by creating generating ideas drafting content and editing encoding the assist professionals with generating code to their specific problems in Customer Support many companies use llms to power their chat Bots providing quick and accurate respon answers to their customer inquiries apart from all these fields llms are being utilized in every field and domain but it's not all smooth sailing there are challenges too let's see one such challenge which is bias since llms learn from Human written text they can pick up and reproduce biases present in the data another one is misinformation they can sometimes provide incorrect or misleading information especially if the data they were trained on was flawed however keeping challenges aside the future of llms is exciting as they continue to improve we can expect them to become even more accurate reliable and versatile they will be better at understanding context handling complex tasks and even learning from smaller amounts of data so there you have it large language models llms are like super smart friends powered by tons of data and advanced algorithms they can chat write and help us in countless ways as they continue to evolve they are set to become even more integral in our daily lives first let's break down GPT generative pre-trained Transformer in simple terms imagine teaching a friend to write stories you would first give them tons of books to read right that's exactly what we do with GPT we feed it a huge amount of text from books articles and websites this this is called pre-training during pre-training GPT learns the basics of language that is grammar sentence structure and even some facts about the world it's like the AI is soaking up all this knowledge GPT is built using a special architecture called a Transformer specifically the decoder part of the Transformer this structure is is really good at understanding the context of the words for example it knows the difference between apple the fruit and apple the company based on the surrounding words the Transformer decoder has layers imagine a sandwich each layer processes information and passes it to the next layer getting more refined with each step this helps GPT understand and generate humanik text now when you give GPD a prompt like once upon a time it uses everything it learned to predict and generate the next part of the story one word at a time it's like a super smart autocomplete you can use GPT for a lot of cool things writing essays coding help creating content and even chatting with virtual assistants thanks for staying with us throughout this video I hope you understood what gpts are and how they work first we'll show you how to access chat GPT easily on both web and mobile next we'll explore chat gpt's interface making sure you know all the tips and tricks to navigate smoothly then discover the uses and applications of chat GPT from customer service to coding this AI does it all but it's not all perfect we will also uncover the limitations of chat GPT so you can use it wisely ready to dive in let's go the easiest way to access chat gbt is through open ai's official website here's how open your web browser and go to open.com look for the product section and click on chat GPT you need to sign in or log in if you haven't already once you are in you can start chatting with chat GPT right away it is that simple you just type your questions or prompts into the chat box and and chat GPT will respond if you prefer using your phone no problem some platforms offer chat GPT through mobile apps as well for instance go to your Mobile App Store and search for chat GPT download and install the app by open AI open the app and log in with your open AI account start chatting directly from your phone anytime anywhere and if you are a developer you can integrate chat GPT in your own applications using the open AI API here's a quick overview how to do the same visit open.com and go to the API section sign up for an API key follow the document ment ation to integrate chat GPT into your application use the API to send prompts to chat GPT and receive responses programmatically this way you can add AI powered features to your apps websites or Services chat GPT is also available through various thirdparty platforms for example Microsoft integrated chart GPT into some of their products like Word and Excel as part of their AI features some chart applications or Bots may use chart gbt for enhanced interactions just check the specific platforms guidelines to access chat GPT features so whether you are using a web browser a mobile app or integrating it into your own projects accessing chat GPT is straightforward and versatile start exploring and see how this powerful AI can assist you in your daily tasks now that you know how to access chat GPT let's dive into its interface and see how you you can interact with it effectively when you first open chat GPT you will see the main chat window there is this is where all the magic happens at the bottom you have the input box where you type your messages or questions above that you will see the responses from chat GPT it's a simple clean layout designed to keep the focus on the con conversation on the left hand side you will find the navigation panel and here you can start a new chat by clicking on this will clear up the current conversation and start fresh view your chart history and this allows you to revisit previous conversations and continue from where you left off then access settings and in this setting menu you can customize your experience such as changing the theme light or dark mode managing your account and setting preferences for how chat GPT responds select the version of chat GPT you want to use from drop-down menu allowing you to switch between different versions like chart GPT 3.5 and chart GPT 4 or 40 let's talk about the input features the input box at the bottom has some handy tools first text input type your questions or prompts directly here second submit button hit enter or click the paper plane icon to send your message some versions that support voice input Yes you heard that right with certain versions you can actually speak your questions instead of typing them imagine the convenience of having a conversation with chat GPT just by using your voice this feature is available in chat GPT mobile app making it easier than ever to interact with the AI on the go we will be covering all the details about how you can make the most of this feature so stay tuned and as we explore this and many other exciting functionalities of Chad GPD these features make it easy to interact with chat GPT in a way that suits your style when chat GPT responds you will notice that the text is formatted for readability responses might include paragraphs for detailed answers bullet points for lists and stepbystep instructions code blocks for coding assistance where the response includes snippet of code this formatting helps you quickly grasp the information and use it effectively let's see some of these examples of how to interact with Chad gbt you can start with simple questions like what is the capital of France can you help me plan a workout routine write a short story about a brave night or even more specific tasks like explain the theory of relativity in simple terms give me a recipe for chocolate chip cookies or help me debug this python code chat GPT is incredible flexible and can handle a wide range of queries charity also offers some additional features such as number one autocomplete suggestions as you type you might see suggestions to help complete your question second contextual awareness chat GPT remembers the context of your conversation making the interactions feel more natural and coherent over multiple exchanges these features enhance your experience and make your interactions smoother and more intuitive that's a quick toour of the chat GPT interface it's designed to be user friendly and efficient so you can get the most out of your AI powered assistant dive in explore the features and see how chat GPT can help you with your questions and tasks now that we have covered what chat GPT is and how to access it let's explore its wide range of users and applications chat GPT isn't just a cool AI to chat with it's a powerful tool that can assist in many areas of your life first up customer service companies are using chat GPT to handle customer inquiries efficiently imagine a 24/7 support agent that can answer questions resolve issues and guide customers through troubleshooting steps all without human intervention this not only improves customer satisfaction but also reduces the workload of of human agents next content creation whether you are a blogger marketer or student charity can help you generate ideas write articles create social media posts and even drafts email for instance you can ask it to write a blog post outline on sustainable living and it'll give you a structure structured outline to Kickstart your writing process are you into programming chat GPT is a great coding assistant it can help you with writing code debugging errors and understand complex algorithms for example you might ask how do I create a python function to sort a list and chart GPT will provide you a quote snippet and explanation it's like having a coding body available anytime students and Educators this one for you chat gbd can assist with homework explain complex topics and even provide tutoring in various subjects need help understanding a tricky math problem or writing a history essay just ask chat GPD developers you are not left out Char DPT can help you write and debug code explain programming Concepts and even generate code Snippets it's like having a coding buddy available all the time ready to help you overcome any coding challenge chat GPT can also act as your personal assistant it can help you plan your day set reminders draft emails and even provide recipes for dinner whether you need to organize your tasks or find a new hobby Chad GPT has got you covered love creative writing chat GPT can help you brainstorm plot ideas develop a characters and even write poetry whether you are working on a novel or enjoy writing as a hobby chat GPT can be a source of endless inspiration learning a new language chat GPT can assist you with translations practice conversations and grammar Corrections it's a great tool to improve your language skills through interactive practice looking to improve your health and wellness charp can provide workout routines meditation practices and dietary advice while it's not a substitute for professional medical advice it can be a helpful companion on your Wellness Journey researchers and data analysts can use chat GPT to integrate summaries extract key information and even analyze data Trends it can help you shift through large amounts of information quickly and efficiently finally for entertainment chat GPT can tell you jokes share interesting trivia and even play text based games it's a fun way to relax and enjoy some downtime from customer service to personal assistance CH GPT has a wide range of applications that can make your life easier and more productive explore its potential and see how it can benefit you in various aspects of your daily routine while Char GPT is an incredible tool with many users it's important to understand its limitations let's explore some of the key areas where chat GPT may fall short firstly accuracy and reliability Chad giib generates responses based on patterns in the data it was trained on but it doesn't understand the world like a human does this means it can sometimes provide incorrect or misleading information always double check critical information from reliable sources next context awareness CH GPT tries to maintain context within a conversation but it can struggle with long or complex dialogues it might forget what was said before in the conversation or not catch the subtle hints from previous chats another important limitation is bias chat gbt May unintentionally show biases because it learns from internet data this includes cultural social and gender biases it's crucial to use chat GPT critically and be aware of potential biases in its responses ethical concerns also arise with ch GPT for instance it can be used to generate misleading and harmful content there are ongoing discussions about the responsible use of AI and ensuring that Technologies like chat GPT are used ethically chat gpt's performance heavily depends on the quality of the input it receives vague or poorly phrased questions can lead to equally vague or irrelevant answers clear concise prompts yield the best results so practice refining your questions for optimal interactions unlike humans chity lacks common sense and emotional understanding it can simulate empathy but doesn't truly understand emotions or have real world experiences this can make its responses feel unnatural or inappropriate insensitive contexts remember chat GP is purely a text based AI it can notot perform physical task or interact with the real world it can provide guidance or instructions but actual execution requires human intervention privacy and security are also critical considerations be cautious about sharing sensitive personal information with Chad GP as interactions may be stored and used to improve the model always prioritize your privacy and security finally there's the risk of dependency relying too heavily on chat gbd for answers can hinder your own critical thinking and problem solving it's a great tool for assistance but it's essential to use it as a complement to your own knowledge and abilities we have covered the basics and practical uses but now it's time to explore the different world versions of chat GPT and what makes each one special first we'll dive into chat GPT 3.5 what sets it apart and why it is a favorite for many users then we'll look at the advancements in chat GPT 4 how does it improve on its predecessor and what new features does it bring to the table next we'll unveil the PowerHouse of chat GPT chat GPT 40 discover why it's considered the next big leap in AI technology and the best part we will show you how to use chat GPD 40 for free Yes you heard that right get all the benefits without the cost stay tuned because you won't want to miss this deep dive into the evolution of chat GPT next let's look at something that most people are interested in when it comes to chart GPT coding chart GPT is capable of creating codes from scratch for various use cases and also in various languages now please remember that Chad GPT has the capability to code anything even malicious software so be very careful while you're using chat GP PT because even though chat GPT provided you with the answers it would only do so on prompting so you are ethically and legally required to use chart GPT only for legitimate uses please do not use them for coding or creating malicious or hacking softwares anyways going on to the actual point here we can actually use CH GPT for coding anything and everything in a particular limit or boundary so Chad GPT is very good in those terms for example let us ask Chad GPT to create a code for something known as the ranga algorithm now this is actually a mathematical algorithm uh some of you might have heard about it some of you might not have heard about it that's absolutely fine and another thing I would like to actually tell you here is as you can see the spelling of algorithm was wrong but chat GPT understands that interprets it appropriately and gives you the exact answer that you want even as you can see I have typed the name of the algorithm there is a typo there but chart GP understands that and again rectifies it now here by default chart GPT starts coding in Python but if you want you could also give it a different prompt or a more delineated prompt stating that we want a codee for this particular algorithm in say C++ or even C for that matter so let us see here it has created the code in Python and if we give this particular prompt the code would start getting generated in C++ so not only does it code the algorithm it also codes the algorithm in various languages as per our requirement not only this we can also specify the kind of complexities that we want now anyone who is in coding or into algorithms you would know exactly what a complexity is we've got time complexity space complexity so we can actually give those kinds of prompts also so if I want the code to be generated in worst case time complexity again please don't mind the spellings because chat GPT is actually going to correct that so as you can see implemented in o n where n is the number of steps to take this is this is actually the worst case time complexity not only is it explaining what the worst case time complexity is it will also generate the code for the worst case time complexity in a similar manner you can also generate a code for best case time complexity at the end of it Char GPT is able to generate a code not only that it is able to generate the code based upon our specifications that we have provided in the prompt so it takes those keywords very serious L and it implements those keywords within the code now please remember do not use this for homework because this is where you are actually supposed to use your capabilities yes you can use this if you are trying to implement some very high level software wherein this plays a very small part but remember direct copy pasting of any type of code or text from chat GPT onto wherever your application is is not the solution you do need to change something in order to avoid any kind of plagarism or copyright infringement so that's how we can use chat GPT for coding now this can be used in various places this can be actually used in various industry use cases also where we need to generate multiple modules that need to be collaborated or that need to be collated into one single module and we don't have enough time this would come in handy not only this we could actually also convert a given set of code from one language to the other so as you can see I've written convert to python so what I'll do is I'll just write convert above code to python so whatever was in the above code it would convert it to python so it was definition of X and Y and then it goes onto the variables here that are in the men method and it'll go on and on and print everything that is a part of this code within here now as you can see wherever it stops here it's not stopping here that is because we have not stopped generating till now here since we had stopped generating it stopped the generation of code but the prompt that is there previously that is where the information is taken from so the above code which is in C++ for the worst case scenario for the UTA method would actually be implemented completely in Python so this is the worst case scenario code but it's implementation is in Python instead of C++ so this is how we can actually use chat GPT for coding next let's go into a little bit of a lighter topic about suggestions so chat GPT gives us various suggestions you can have suggestions for Holiday places you can have suggestions for cheap holiday places you can have suggestions for game games for broke people you could have all of these types of suggestions so let's look at the first suggestion here suggestions for party games for birthday parties for 7 to 10 year olds now if I just print this maybe it might not give me the answer that I want so the keyword here would be suggestions for party games for birthday parties for 7 to 10 year olds now here these are some of the party games that would be suitable for 7 to 10 year olds as per the information that Chad GP P has obviously if you do not feel that this is not appropriate you can always disregard the suggestion given here however for the most part these are appropriate suggestions as you can see so musical chairs spin the tail on the donkey balloon pop scavenger hunt freeze dancing Simon says all of these are pretty normal games that are a part of a 7 to 10 year- old's birthday party but these suggestions would not be appropriate if it is a 22 to 25y old birthday party so if we try to look at what a birthday party should look like for someone who is say for example 25 years old the suggestions would be very different so as you can see the first suggestion itself is extremely different again these are just suggestions you are always free to include other games or exclude multiple games here but these are the suggestions that chat GPD provides us with right now let's look at something a little bit more complex what about if I want a suggestion for party games for college reunions now if I want suggestions for these then here the suggestions would be slightly different a lot of these would be related to the college or related to things that I have done in college something that could actually help all of the various people who have gathered there to rebond with with each other again here this is a pretty straightforward suggestion what if this particular suggestion was a little bit more complex so for example if we are suggesting games for college reunions but they have children with them so here you can see the things that we're doing here are slightly different the only thing is that now it would be kid-friendly also so here as you can see for the exact same suggestion of party games for College reunion the list of things that you can do with kids and without kids are different as a result you can see that the suggestion also changes now if you want to further filter out or further increase the kind of keywords that are a part of the prompts here you can obviously do that you could also have prompts wherein you are U looking for suggestions of party games with college reunions uh at a very good hotel or we could also have a suggestion for college games in an uptown hotel or suggestions for the hotel itself so here what we're doing is just having a little bit of fun with all of the various keywords that we use so all of these types of suggestions can actually be implemented here and it's up to you whether you want to take in these suggestions or not but Chad GPT would give you a list of things that you can do to the best of its abilities next let's look at how CH GP can help us with summarization now as we know summarization is the task where we actually uh take up all of the important bits of a particular large text and we quickly summarize and squeeze it into a few statements now this summarization is very important especially if you're trying to read through or if you're trying to understand multiple research papers while writing a research paper of your own or while trying to research on a given topic so many of times during research summarization becomes extremely tedious even though it's tedious it is still an important task during research so what can we do and how can Chad GPT help us in summarization suppose we have this kind of a Blog wherein we have some technology that we are interested in and this Blog has information about that technology now as a researcher I've got say 15 to 20 blogs that I need to review in the next 30 minutes only there is not enough time for me to read through even one blog and understand what the topics are so what I can do is very simple copy the whole blog here now since this blog is a part of the AWS blogs I can actually use this here since these are freely available so I've copied this particular blog and what I'm going to do is I'm going to go into my chat GPD and simply say summarize the following and paste the text here so literally the whole text that was a part of the blog has been pasted here with a suggestion to summarize it let's see what happens Chad GPT very helpfully starts summarizing the whole text that we have pasted here now this text has a minimum of 1,000 words given in it it and here chat GPT summarizes it into say for example 100 or 120 words only so it's easier for me to read through this and understand the gist of it rather than actually going through all of the content now as you can see this is not as short as I want so what I can do is further summarize the above paragraph and it will further summarize and further reduce the amount of information that is a part of the paragraph Above So now I've got a say five to six sentence paragraph which is easier to learn easier to understand easier to remember and whatever takeaway is there is now in a much more concise manner than before so Chad GPT helps us summarize a a lot of the content and this can be done for various kinds of things like if you've got a complete chapter you need to study and you want the summarization of that or if you want to have a complete abstract of whatever research you've already done now please remember if it is a research that you're doing and an abstract that you're writing for it because yes we can write abstracts too one thing you need to remember is not to completely copy and paste chat GPT because as I've said earlier there are copy right infringement connotations as well as plagiarisms involved here so please make sure that you are actually paraphrasing anything and everything that you use from chart GPT chart GPT can be used for suggestions but they should not be used as it is to complete tasks that are required from you in your coursework now let's look at another way in which we can use chart GPT for summarization suppose in my research I want to point out that isa. is something that I am not going to use for a particular set of reasons now how do I actually summarize this here in a negative voice so it's very simple what I'll do is go back to my paragraph or go back to the source of the blog copy this blog again and paste the blog here however as you can see see my prompt has changed not only am I summarizing it I am summarizing it in a negative voice this means that I'm trying to pinpoint all of the limitations of using isima IO now the reason for that is because it is a necessity in whatever research I am doing I need some kind of negative feedback showing a reason why I would not be using this particular entity or for whatever reason I wouldn't require a negative feedback so so as you can see the summary given before and the summary given later would have differences in it further summarize with negative voice and I've not written what it needs to summarize so that is why chat GPT would give me this particular answer one is the summarization here with negative voice is something that it does not want to fulfill because it strives to provide neutral and objective summaries without coloring the views of anyone right without any bias or without any judgments so here this is an important thing to remember that chat GPT is different from instruct GPT which was a predecessor of it here chat GPT actually tries to give as much as positive or neutral feedback as possible so even if you ask it to summarize it further in the negative voice it might give you answers like these so this is how summarization can be done using chart GPT next let us look into keyword based content generation so if we give some keywords can chart GPT create content based upon the keywords so let's say we've got some stories that we want to create and let's say that the keywords that the stories have to be based upon is a house cats maybe and some rain and let's say one more catnip right so these are the keywords based upon which I want the story to be generated so as you can see because of the prompt given which is a story about house cat rain and catnip there is a complete story that is being written by Chad GPT that contains a house with a lovely Garden in the front and a spacious backyard uh it's got a cat called whiskers and whiskers gets a gift of fresh batch of catnips so literally all of the keywords that we've given as a part of a prompt are all being used here as a part of the story however as you can see the story goes on and on and on and it is not something that I would like to you know display or demonstrate here so the story is here if you want you can create a longer story this is a short story generated so this is something we can do here now let's see if the same prompt can work with poetry so if we've got a poetry generated using house cat rain and catnip so as you can see a poetry can also be generated right so in a similar manner using keywords we could generate all of these things let's see if we can generate an add script in the same manner and advertising script add script using all of these features like cat house rain and catnip let us generate a response here so yes as you can see even an advertising script can be generated so there's a voice over there are cut tools like everything that you would require in an advertising script can actually be demonstrated here using the keywords and as you can see there is a cat obviously there is a cozy house with a lovely Garden there is rain sounds and raindrop can be heard tapping and all of these so literally all the keywords that you have given here which is cat house rain and catnip will be inculcated into the script here and and the advertisement can be completely created as it is right so this is how we can actually create content or create scripts using the keywords that we want not only can we create scripts using keywords we can also create uh stories we can also create poetries we can literally create any kind of content using the specific keywords that we require to be included or inculcated into our content so now we looked at how chat GPT can create content based upon keywords now let's look at whether chat GPT can create keywords based upon the topics that we give to it so suppose we want to create a Google ad but we're not understanding exactly what keywords to use within those Google ads so let's say this is the prompt generate a list of keywords for Google ads for fashion brand and again as you can see there is a typo here let me correct that typo now because we have another typo which is ADS okay okay so this is our prompt keywords for Google ads for fashion brand let's see what type of keywords it can generate so as you can see here are some of the possible keywords for Google ads for a fashion brand now it's not necessary that it would be a woman's fashion brand or a man's fashion brand or a kids fashion brand it's just a set of keywords which can be used for fashion brand and a disclaimer is also put in here by chat GPT that the choice of keywords may vary depending upon the target target audience the product that are being offered and the goals for marketing that have been set so please do your research right now what if we want to bucket these now what is bucketing bucketing is where we actually Club all of these keywords together in order to understand exactly where or how these keywords can be used so let's write a prompt here which is more of a follow-up prompt bucket the categories or bucket the keywords under different categories as per their intent so obviously chat gbt knows that it has bucketed or it has created all of these above categories and it needs to bucket these categories based on those so as you can see there are categories like informational and research intent there is navigational intent there is transactional intent so all of these intent based categorizations are done here again these categorizations are called out to be subjectives and these may vary so we need to be very careful here right now let us see if using these buckets we can write an ad so let's say we want to create a script for an ad using the informational bucket right so how would the ad look so see discover the hottest fashion looks fashion photography so can you you see here we've got fashion trends we've got fashion photography we've got runway fashion fashion styling fashion tips so literally all of those the fashion trends that are there the fashion photography that is there fashion experts fashion looks all of these topics would actually be here and the call to action on the Google ad would be visit our website now so this is what we want you to do as a fashion brand we want you to visit the website where these fashion brands are there so all of these would actually be a part of our Google ad again there is a disclaimer that it is designed to attract users who are interested in learning about the latest fashion trends so those who are interested in the informational intent would come up here so as you can see based upon the informational bucket and the keywords in the informational bucket we've got this particular ad created in a similar manner we can also use the transactional intent wherein we are actually calling people to shop here to do transactions here and we can also have the navigational intent where we are asking people to come in and to explore our brand and to explore our fashion boutique in this particular manner based upon the keywords we can bucket them we can also generate ads specific to these keywords and we can continue to paraphrase these ads to be more relatable to the users right or we can Target them to say ladies men kids young adults teenagers based upon whatever our target audience is we can actually Target our ads or we can filter our ads by giving the appropriate keywords there now let's just talk about gbt 4 what it is right so as the name suggest first we let's disect the word called GPT right what does it mean it means generative pre-trained Transformer right we'll understand each and every word in a greater depth in the next slide but what gbt is in a nutshell now GPT is the type of artificial intelligence that can generate text now the key word here is generating text it's a text based model it does this by being trained on massive amounts of Text data right so we talked about the data that comes in right the the amounts of data that is being generated in the world in on day-to-day basis so now it is being trained on that data the algorithm is being trained on that data the model is being trained on that data now once it is trained it is used to generate new text by simply starting with a prompt right right so this GPT is then integrated as a chatbot so what exactly happens is GPD understands the computer language right it does not understand human language but when you attach it with the chatbot that is integrated in GPT then it becomes a model in which we as humans can interact with computers in the language that we want we I don't need to learn C programming I don't need to Learn Python I can can still interact with computers this is exactly what the landscape has changed with GPT models right so once it's stain it can be used to generate new text by simply starting a prompt and letting the model predict what is the next word that is going to come right so here are some examples of what gbt can do it can generate poems it can code write scripts right musical pieces emails letters and so on right it can generate a lot of information and how does it know all these things because it has been trained in that manner with large amounts of poems to know how it works large amount of code what other the so it knows by the way all programming languages possible it can translate text from one language to the other if I write something in English and I want something to come up in German it will give the same how you speak right German it'll give in it'll give it in English but it will give the what is how it is pronounced in Germany so it can answer questions about a variety of topics it can summarize texts right you have given let's say a a debate topic right an essay you have written you want to rephrase it you need to summarize what is there in that entire flow right you want to write an ex abstract of research paper right it can help you in some manner I'm not saying that it is accurate to do what you want it to do but it is well defined in in that manner it definitely would not make much grammatical errors right then let's just dissect the world GPT what does it mean generative pre-trained Transformer what does it mean generative as the name suggest it can create a new information right then we talk about pre-trained right so initially the models undergrow unsupervised pre-training phase where they are exposed to a large amount of data right it is basically giving the large amount of data to the model and just telling it okay let's start right so subsequently the they undergo a supervise fine tuning phase in which they all the errors that they have created in the first iteration that goes away in the second one right which provides guidance to that model this find uning process can be tailored to specific tasks right tailor fitted right write an email in a polite tone right that is tailor made right so that is how it learns the the variations in different types of languages is the tone the variation in different kinds of tone that is there right so that is pre-trained then comes Transformers right so it is a deep learning model which utilizes a technique called tracking the relationship in sequential order to learn the context of what is being provided in the case of gpts they observe words or tokens right so GPT has it doesn't take word there's a ratio between word and token but the language it understands to the number of words right is tokens in GPT within a sentence and make predictions about the following word or the token right so that is generative pre-train Transformer now let's just see what are the various steps that are involved in in this GPT right no one by the way everybody talks about how to use GPT this is the reason the reason why I'm telling you this in detail is that you should know how what is the thing that is working behind the scenes right you you repeat you can just write everything in chart GPT or GPT 4 and it will give you some responses but what is the thinking behind it what how does the model work why is that it did not come up so many years ago right what was the thing that it was being trained on that is a data right so let's just understand the steps that are involved right in GPT in understanding how this is made right what does the first set mean right what does the first First Step involves that is the training the GPT now GPT is trained under a process called generative pre-training now in generative pre-training the model is given large cops of text and is asked to predict the next word in the sequence right for example Ram is playing Dash right now it can predict what it is playing volleyball playing tennis playing chess a lot of things now this process is repeated a lot of times time so that the model learns to predict what the next word is with the increasing accuracy the second step is as you can see is splitting the data set now this data set is split into two parts number one is the training set number two is a test set now the training set is used to train the GPD model and the test set is used to evaluate that GPT model the test set is not used to train the model so it can be used to measure the model accuracy on the Unseen data that is there the third step right the third step is training the GPT model using supervised learning methods now the GPT model is trained by super supervised learning so what happens in in supervised learning the model is given a set of input data and a set of output data now the model learns to map the input data to the output data so in case of GPT the input data is a sequence of words and the output data is the next word in the sequence this is how it learns then we have evaluating the GPT model right the model is evaluated on a test set the accuracy of the model is is measured by the percentage of times the model predicts the correct word right so this is how it it understands what is happening then fine-tuning happens of of GPT models it can be fine tuned for a specific task fine tuning is a process of adjusting the model parameters to improve the performance of that task Now using charge abity you can generate text translate the languages answer various questions that are there you know build it across your businesses integrate in your businesses there are a lot of Chrome extensions now you can integrate it into your businesses so that you would have like an AI assistant to you right so all these the other steps that are involved so the next one is again what we talked about GPT is trained on a massive set of data text or code right then the data set is split into the training set and the test set the training set is used to train the GPT model the test set is used to evaluate the GPT model then the GPT model is fine-tuned again as we mentioned on a specific task then the model is ready to use now this seems to be a very simple process but trust me on that it has taken lot of time lot of effort from all the engineers all the scientists to develop this algorithm to develop that complex Max integrate in in with the computers so that we get the models that we have today right so what is gp4 if you talk about so it is the latest iteration of the language model it has been designed with the focus of enhancing the alignment with the user intentions now gb4 is made by the company called open AI so that is the parent company that makes these models J gbt or gbt 4 now it aims to improve the accuracy of the outputs right right it has a higher order thinking it has a cognitive thinking it has a logical reasoning better high quality logical reasoning right so compared to its predecessor it demonstrate better performance in the factual correctness of the things that are there and the error rates are low it also introduce advancements in the steerability right the enabling the users to customize the model's tone the tonality and also the style according to the requirement that is there right gb4 aders most strictly to the guidelines that are there refusing to fulfill any inappropriate request that comes up right now what are the capabilities of gp4 if you ask me it's unlike its predecessors it has the ability to both analyze image and text okay this is very important in gbt 4 model you can integrate images and it will give you a text output the output will always remain text but you you can input images which was not the case in chat gbt right enhancing is capab to connect the image content with the written questions now gbd4 exhibits Superior performance in variety of tasks that involves creativity and again Advanced reasoning compared to the charity now with the capacity to process the entire scientific papers in one go and tackle the complex questions and establish the connections right it is good in establishing connections so if you have a thread running in of questions of prompts it has better ability to Analyze That Right understand the way you are thinking right again the data we are feeding and they're learning towards it the prompts right from that questions they're learning right now gp4 employs a token based measurement this is what I mentioned to you that it it does not really understand words it understands a thing called tokens on an average 75 words occupy 100 tokens so that's the transaction between a word and a token now gbd4 has shown impressive results in standardizing tests like bar so it has passed the bar examination lsats gr Etc right so it has it has developed at human level intelligence right which has Benchmark indexes right now we talk about the limitations of gbd4 now there are social bies the various prompts that are there that is still a challenge that gbd4 faces right now gbd4 is preened data right whatever the more important thing is that it it showcases a bit of bias towards things which is not very accurate right so the gbt 4 is trained till September 2021 it does not understand the current scenario of how the world is growing the data it possesses is from throughout history till September 2021 so for anyone who wants help in whatever is going on in today's world will not not have any use of Charity per se it can rephrase test texts it can modify a certain things that you provide as an input but it would not consider it does not have that knowledge of the things that are going on right because the data that is input is till September 2021 now the user need to be cautious about inputting prompts that may lead to un intended output called jailbreaks right so we need to be cautious about it it's it may give you results that you did not intend to have right so this is important then gbd4 has a room of improvement and understanding in generating language other than English it's it's bit more biased towards English it understands English absolutely in a very incredible way but other languages it needs a bit of time it needs a bit of understanding to develop that it lacks the capability to analyze audio or video content right still now it image is done but audio and video it still has not been developed and it is still in process so yeah once we get that audio and video one then would be another another level of uh GPT would be seeing then gp4 occasionally makes mathematical errors that a calculator would make this is rare occasions but it still exists so we need to be careful these are the limitations of gp4 now the predecessor right the charity now it's was developed by open AI it's an AI research organization which was first nonprofit now it has been more profit side uh been on the grounds that that it has become a proper organization and not nonprofit then chart gbt is again gbt architecture that has been trained on a large tremendous amount of data to give humanik text in response right so these are the things open AI is the company that builds it has done a fantastic job in building this chart GPT and the model that we use today now after talking about the capabilities and limitations of GPD 4 model now let's talk about how the dashboard looks like how it is different from GPT 3.5 and what are the key differences between the free part of it and the paid version that is GPT 4 right so what are the key features in in a nutshell that we discussed as well is about that you can input the images in GPD 4 model while in case of CH GPD 3.5 you could not really put any images you could only input text there right so you can input text as well as image in in GPT 4 now what are the other key differences that are there so basically gp4 is an advanced model right it has advanced capability of logical reasoning its structuring is in with enormous large amount of data so it's better well worsed with how basic functionalities work and it has a higher order thinking in that perspective so let's look at uh chat gp4 dashboard let's log in into it so I'll open my uh Chrome window you can use uh any search engine that you want Chrome or Bing you can just type so the parent company that makes GPT charge and GPT 4 is open AI so I'll search for open AI right this is the first uh link that we see is open AI right so we can see that uh they have a number of things that are they that they are working on on building these artificial intelligence uh products right so one such product that we are discussing today is gp4 so let's uh go into the product section you can see chart GPT is there gp4 is there dii is there so there are different types of products that this company make in terms of artificial intelligence so let's look at gbd4 for now so when I click to GPD 4 now it says that it's the most advanced system that produces you know safe and more user responsiveness is there right so this is uh what the Crux is about there you can you can see in the website they have talked about what differences key differences are there right uh and how is the difference from chat chat gbt right one such example you can see so this input is there in which Andrew is free from 11 to 3 joon's free from uh from noon to 2:00 p.m. and then 3:30 to 5: so it basically the Crux behind chart gbd and gbd4 is that in gbd4 you get more crisp Advanced reasoning answers right and you would get a bit more vague answers in chart GPT the older model of it but you'll get a more precise and more crisp results when we talk about gbt 4 right and in terms of uh in terms of passing the exams right the benchmarks that they have set gbt 4 even outperformed chart gbt in that regard right so if you have you can see uniform bar exam CH gbt score 10th and gbd4 90th so the this is the level in which it performs right so with this it tells about how advanced Char gbt 4 model is then uh then J gbt right so now let's just log in and see what more uh things we can do right so let's just log into to try on Char gbd 4 plus log in right we'll fill in the details so after filling in the details what we will do is we will just just log to the gp4 model right so this is the sort of user uh interface that we have for uh gp4 it's pretty much the same as gpt3 with chart GPT and gp4 what the key difference is that it's the UI Remains the Same more or less what the difference comes in that when you're paying for an extra you know ability for this model you get the GPT 4 model right there but you can always switch back to GPT 3.5 in the same window you don't need to create any free account for that in the paid version as well you can go back to 3.5 so what is the major change that they have done is that in gp4 you cannot use it in in one go how many ever prompts you want it is limited it has a cap of 25 messages every 3 hours so in every 3 hours you can only type in 25 such uh questions right so this is the key then whatever you do after that they will revert back to the GPT 3.5 model right so these are the key differences again now these are the different strings or different chat sections that are created over here consider it like you're using Whatsapp right you have numerous threads you have numerous uh people that you're talking to right so each each individual has a different chat options so similarly when you are typing in different queries related to different sort of uh topics right each topic gets created into a different uh what do we call it a chat section right you you can you have to set it in a different chat section so the thing with chart GPT and GPT 4 model is that it learns from the data that you provide right so if I'm typing in XYZ things right um hey uh can you tell me something about [Music] marketing right so if I type in such things let's just uh type in gbd4 for now so what will happen is that when I type in and now what it would do is it would know that this entire chat would be uh created right a new chat would be created then what would happen is that in the entire conversation it will stick its uh brain power to marketing it'll know that okay you're talking from the market perspective of things right so it has that kind of uh data that put that you put in it has a sort of memory to realize okay this is what the human wants me to interact with that is marketing right so you'll get a variety again as I mentioned that in in the differences between GPT 3.5 and 4 model is that you get much more crisp results right with a lot more better logical reasoning and higher order thinking in what the user would want right so that is why this is what you're paying for you're paying for an extra amount of preciseness to what you really want the answers from gp4 model right again the drawbacks is Remains the Same in this model itself that it is trained up to August or September of 2021 so after that any new information that is there would not be present in any of these models GPD 4 or GPD 3.5 but what you get out of uh paying extra what what you get out of paying for this service is that you get more crisp answers more better quality answers and more precise answer in to the way you want the answers to be right you can type in X number of commands right so we'll we'll see all these examples when we go ahead right so basically this is the user interface that they have you can CH you can type in your prompts over here you can regenerate the response if I do not like what I'm seeing over here I can regenerate the response right here I can tell them right this is for their feedback if this was a good one or this this was something which is not good so this is what uh is there in this uh chart as well so you can also make changes to the queries the prompts that you put in right you can always you know modify just like I can change what I want to about I can be more precise right I can talk about digital marketing right so I can save and submit and and it would give me much more precise answers right so you can always have and and it has a memory of its own right so it has a memory you can always go back to the last promt that you were searching for you can always come back to the current promt that you're working on right so these are the more crisp and precise things that are present in the gp4 model it is much more advanced in terms of higher order thinking right so let's move on and let's uh let's learn something about uh let's just say business or let's just say marketing or let's just say content creation right so let's just start off with uh with marketing at first now let's just talk about some general prompts for gb4 let's play around with gb4 and see what what are the different things what are different modifications we we can do in our prompts what are different aspects we can cover uh from business to marketing from the creative side so let's talk about some of the different uh prompts we can provide to gbd4 so now from considering a very creative part of it now now I wanted to develop a screenplay for a film right so now I've added a prompt stating that develop a captivating screenplay for a film by creating compelling characters establishing a intriguing setting and writing engaging dialogues craft a thrilling narrative filled with an unexpected twist to keep the audience captivated until the end now what I'm trying to do here is that I'm giving it number of different parameters to consider while developing that screenplay right it is captivating characters establish an intriguing setting writing engaging dialogues right right graft a thrilling now I want it to be in in the thrilling perspective right so all that I have added in this now let's see what are the what is the result of this prompt so now we can see that it has given me in the format screen plays are made it has given me the sequence of things that need to happen so all these things are the with the parameters that I have given it right the dialogues are there the characters are mentioned the the location is mentioned where it is going to happen right so all these things are are set in play when when we talk about gbt 4 gbt 3.5 on the other hand would give a very vake sort of setting it would not give it in the format that is there also it would not be as engaging as gbt 4 would provide right now let's take another example now generate a script for a 2minute Facebook ad promoting our Innovative Cleaning Service right so let's just see what it has to give now as we can see that as mentioned before that gbd4 every string has the memory of its own right so the first thing that we asked it to do was create a screen play right the format should be in a screenplay format second one we completely Chang change the subject to make a 2minute Facebook ad promoting Innovative Cleaning Service now what it understands is that you want it in a screenplay format and to generate a script in that format right so what it does is it gives me the entire screenplay for a cleaning service which we do not want it right it gives me a thing that I do not want it to give but since it has its memory of in every thread it gives me it has the memory of the previous prompt right now it is engaging the previous prompt with the current prompt and giving me the results accordingly now what if I do not want it what should be done you have to create a new chat a new string should be created click on gbt 4 and then add the same prompt that you added in prompt number two right so now it has given me a script in the format that a script is and not a screenplay right so now it has given me the opening shot how it needs to be there the narration of what what uh the script would be like then where the camera should be placed what should be the setting it has given all those three things in in this in a 2minute thing and also it has given me that uh there's something you want you can ask it to Sparkle and shine.com for satisfaction is guaranteed so what it is like at the end you give a feedback right so now this can be the Business website for whatever your business is you can put your website over here and it and in the in the in the script it would add the same to it right you just have to change it okay change this this this from your own Brand's name or your Brand's website right so it will do the same okay now let's look at one more example now I want gbd4 to write me a 500w article with an exciting tone okay so the first parameter that is it is considering that I wanted to consider is exciting tone that explains the ADV advantages of using the virtual reality for travel experiences this is the second parameter that I'm setting it now the third is begin with a compelling hook using the Pas formula and conclude with a CTA now this is my fourth parameter using the P formula and and conclude with a call to action promoting the virtual VR reality package right now let's look at what the response of gp4 model is this in this regard now we have mentioned that begin with a compelling hook right now just read the hook that it has given right the first one this the first para is the hook imagine this you standing on the summit of Mount Everest feeling the Cool Breeze against your face the crunch of the snow beneath your boots right so now this gives us the initial hook for the user to being hooked up to the article that I'm writing right you want at the end that the customer or or the the person that you're sending this article to reads through the entire article you don't want it to just read one line and go back so the first element the first para of this article is about engaging that audience engaging that user onto this article then is then comes the bit of introduction part okay we are travel experiences are revolutionizing the tourism industry giving a a brief of what you want to sell right offering a blend of Adventures and everything right then comes the body part in which you mentioning all the things that are happening in the VR world how the VR is uh you know interactive and all those things that you can do how it is much more better than other conventional things so you are giving that in your body part and the at the end you're giving a CTA call to action what should the user do right now it is giving imagine the endless possibilities that lie within your reach right now it's the time to seize the day and dive into the future of travel we are excited to present our exclusive VR travel package your passport to the world and Beyond now it wants you don't just dream about the places you want to visit experience them reach out to us today and let us guide you to World of unlimited Adventures get ready to explore now the thing is that if I if I mention that for the first time user let's say it's 50% off on the travel package I can add that and add the end of CTA it will just add that statement or in in a much more interactive way it will add that okay 50% off on in uh on the package that we are selling so all these things can be done using gb4 model now let's take another example as a renowned Chef can you give me five suggestions to enhance my baking skills and Achieve professional level results make sure that suggestion right now this is the thing make sure the suggestion is for a person who hasn't cooked before right so I want to give it a parameter that explain it in a layman's term right now the the result that we are getting right is from the very B basic beginers level understand your ingredients right Precision is the key quality of the ingredients Master the basic techniques right be it whisking the eggs or chopping vegetables and all that stuff so it want us to know what what the thing is right in terms of baking it is not vegetables it can be other things you know how to make the dough and everything right so Master the basic techniques that are there practice practice practice so it's is telling me what a absolute beginner needs to do needs to start off when they're talking about you know baking right so it will give you in a in a very Layman structured approach from the very Basics that's the beauty about gbt 4 it will give you everything in a very structured manner in a very crisp manner j4 o is not just an upgrade it's a transformation so without any further audio let's get started let's first address the glaring question you might have what does o stands for on 4 o well it stands for Omni and it signifies the next level of intelligence and versatility in AI so now let's dive in and explore what makes Chad gbt 40 so special first and foremost please note Chad gbt 3.5 5 is under freeer and chat gbt 4 and 40 are under chat gbt plus version which is subscription model and is not free now let's compare chat GPT versions chat GPT 3.5 has enhanced reasoning abilities but is uni model chat GPT 4 mastered multimodel task such as understanding and generating text from images describe visual content and integrating text and images for compreh ensive responses and CH gbt 40 optimizes these features for faster and more accurate responses now let's dive into the features introduced in the 40 version for Chad GPT which is what today's video is all about Chad gb4 o Builds on the robust Foundation of Chad gbt 4 but introduces several enhancements such as faster processing improved understanding of complex queries Etc CH gbt 4 is designed to be more efficient more responsive and most importantly more human like in its interactions but what makes Chad gbt 4 truly stand out let's explore some of its impressive features first CH gp4 can detect and respond to emotions making conversation feel more natural and empathetic now let me show you an example of Chad gp4 o in action imagine you are working on a research project about climate change impacts and you need detailed information let's see how chat GPT 3.5 4 and 40 handle this request first we begin with question for 3.5 can you provide information on the impact of climate change here we see that Chad GPT 3.5 gives a brief overview though not in a detailed manner now let's present the same prompt to chat GPT 4 and what we see is that it gives a general overview but not really an optimized version of The Prompt asked which means a response that is more precise accurate and tailor to the specific details and context of the prompt providing better Clarity and relevance but let's see how CH GPT 4 handles the same request this updated response provides a more structured and detailed overview of the impact of climate change organized into clear categories it offers a comprehensive yet concise snapshot the key areas affected by climate change highlighting both immediate and long-term consequences second chat GPT 40 is optimize to understand and respond to a wider range of queries more accurately let's look look at an example as a data Enthusiast who loves to dive into the statistics let's analyze data without writing any code how can we explore and interpret data effectively using version 40 so let's give a prompt provide me the statistical chart using the data set which will give me a clear picture of the data set do you see the difference in output with ch gbt 40 at first glance ch P4 does not show charts and provides information based on the text shared which may need further refinement however in chart GPT 40 it not only displays visualization immediately but the charts also feature better styling color schemes and readability the analysis is more sophisticated better identifying Trends and patterns it can also provide medians quartiles and standard deviation when required at additionally this version offers more comprehensive explanation and interpretations of the visualization which deliver clear and more actionable insights it also employs more advanced techniques for handling missing values outliers and data inconsistencies thir with support for various plugins such as browser integration python for data analysis and delay for image generation we can extend capabilities to meet our specific needs it creates stunning images from text prompts directly within your chat interface let's talk about plugins and delay with the advanced plugins you can exchange chat GPT 4 O's functionality to do things like schedule appointments manage task and even control Smart Home devices and with Del integration you can generate beautiful images from Simple Text prom let's see how this differentiates CH GPT 40 from CH GPT 3.5 and 4 so let's explore the creative side with Del Integrations and here is a prompt that tell us what we are talking about so here a prompt is that generate an image of a peaceful Countryside scene in the evening the scene should include a small cottage with smoke coming from the chimney surrounded by tall trees and river flowing name nearby the sky should be painted in shades of orange and pink indicating Sunset include a wooden bridge over the river and a few birds flying in the sky size should be 1024 into 1024 let's see when we use this prompt using 3.5 jbt 3.5 gives this beautiful description but it stops there now let's jump into Chad GPT 4 and 40 using the same prompt here is your image isn't that amazing this feature opens up endless possibilities for Creative projects with chgb 40 you get a visually stunning representation created instantly demonstrating its Advanced capabilities you will see not only detail and descriptiveness in an image but the optimized performance of GPT 40 ensures a more natural and fluid description capturing the scenes Essence more effectively and also chat GPT 4's improved capabilities would result in more accurate and contextually relevant responses making the scene more lifelike and engaging now let's play around with another example that will give you more clarity on how chat GPT 4 works better than version 4 if we give a prompt that read the note and give me the context of this note as I am unable to understand the image shared CH GPT Force transcription is not completely accurate but when you provide the same prompt to version 40 it captures the words correctly and accurately and it can adapt to your style and preferences over time providing a more tailored experience isn't that amazing to WRA things up chat GPT 4 is more than just an incremental update it's a comprehensive enhancement that brings optimization emotion detection and incredible creativity into the mix whether you are a casual user or a professional chat GPT 4 is designed to make your interaction is smoother more intuitive and more enjoyable open AI recently introduced its powerful and upto-date model that is Chad GPT 40 in April 2024 and Chad GPT 4 was introduced in 2023 this new model of offers optimized performance in comparison to Chad GPT 4 with faster response times improved accuracy and enhanced features like emotion detection and realtime translation making it a GameChanger in the AI World additionally Chad GPT 40 supports seamless integration with plugins provides personalized chat experiences and includes Advanced context understanding for more coherent conversations the model also boosts improved multilingual capabilities allowing it to handle a wider range of languages with greater proficiency let's check out the features on the official website of open AI so once you click on this link you will be directed to the hello GPT 40 open AI page where you can actually explore the capabilities of GPT 40 so here you have a default option that you can select so let me me actually try out the poster creation for the movie detective so here you have to give input as two images two separate images where you can actually get the output as the poster for your movie you can actually try out other uh options here as well so 3D object synthesis here the input should be these and you will be getting the output like this also we can also find the test evaluation of the models that are used so you have GPT 40 GPT 4T and few other open AIS as well so this is your evaluation sheet so you can go and check our great learning platform to learn more about the text evaluation as well for more information on chat GPT 4 please check out our hero video on chat GPT 40 versus 4 versus 3.5 now now that you are aware of chat GPT 4's impressive capabilities let's explore the first method of accessing it for free the first trick is to access chat GPT 40 using binge chat Microsoft binge integrates the chat GPT 40 model to deliver more accurate and insightful search results by leveraging the power of gp4 Bing chat can provide responses equivalent to the default chat GPT 4 model enhancing your search experience with better context and understanding this integration means you can enjoy the benefits of chat GPT 40 Advanced capabilities without any additional cost now let's see the demonstration of Microsoft binge once you open the binge on the Chrome you will be directed to this page where you can create your account I have created my own you can click on copilot to give your prompts so let me start with first thing so my first prompt is I want to create an image of a girl holding balloons so we'll see what binge gives so it is taking time it is telling that I'll try to create that here you go I got four images of a girl holding balloons this is how binge helped me creating image now let me ask binge to create a code I have given a prompt telling it to create a code in C for swapping two numbers we'll see what it gives wow that's awesome it gave me two different codes wherein first code is using a temporary variable and the second code is without using a temporary variable so here it gave me a C programming code to swap two numbers this is how you can use binge AI this is how you can leverage binge AI powered by the chat GPT 40 model to get enhanced result for free it's a powerful tool that brings you the best of AI without any cost the second trick is to use the Merlin Chrome extension Merlin is a handy tool that integrates seamlessly with your browser offering Advanced AI capabilities right at your fingertips utilizing the chat gp4 model Marlin delivers Superior output equivalent to default chat GPT 4 enhancing productivity and providing effortlessly high quality results search for Merlin on Google and create your own account to get started after setting up you can input prompts tailor to your needs however make sure to select the gp4 option in the top right corner of the application to ensure you receive the best output you can give the prompts as per your requirements and check if it gives us the better result once you go on Merlin on your Chrome you will be directed to this page here on Merlin you have to select the GPT 40 option and you can start asking Merlin by giving your prompts so let me give my first prompt as create a code I'll give the same prompt that is create a code in C for swapping two numbers and give give enter we'll see what it gives wow Marlin gives a better result so using a temporary variable it gave me a code and without using a temporary variable it again gave me one more code and method three also using bitwise exort operation also so this is how you can use Merlin to generate your prompts or results to know more about how to give prompts on your chat GPT 40 you can go to our platform and check for the video on building a python app using chat gp4 this is how you can use Marlin powered by gp4 model to get enhanced result for free it's a powerful tool that brings you the best of AI without any cost the third and last trick is using Chad GP 40 on the Chad GP open AI so here we will see how to use Chad GPT 40 for free on the default model that is 3.5 so I'll give my prompt here on the default model that is 3.5 so I will ask the uh chat GPT to create a definition of what is software testing in software development so the default model is giving us the result so it is telling what software Ware testing is and the key objectives of software testing and different types of software testing and the levels also is given and we also got some common techniques in software testing so this is the result of the default model now below the result we have an option of changing the model to 40 if I click on the change model we'll see what we get right so as you see chat gp4 o model is generating the better result when compared to our default model it is telling the types in detail what is manual testing what is automation testing what are the techniques that are used and the stages in techniques it is giving everything in a better format right so this is how you can use chat GPT 40 model for free you don't have to spend a lot to enjoy the amazing features of Chad GPT 40 by using bin chat the Merlin Chrome extension and even the default chat GPT platform you can access chat GPT 4 for free these tricks allow you to benefit from faster responses better accuracy emotion detection realtime translation and more give these methods a try and see how chat GPT 4 can enhance your experience without costing you a penny comment below with your experience trying these tricks and for more videos like this this subscribe to our Channel happy prompting now that you have seen the different versions of CH GPT and their capabilities it's time to unlock the true potential of this AI with prompt engineering ever wondered how to get the best responses from chat GPT the secret lies in crafting the perfect prompts in this next segment we will dive into prompt engineering for chat GPT you will learn the tips and tricks to formulate questions and commands that yield the most accurate insightful and creative answers get ready to become a master at communicating with Chad GPT let's dive into the Art and Science of prompt engineering after this we will cover how Chad GPT can be applied across different domains such as Tech data marketing and finance if these domains are particularly relevant to you be sure to catch those segments for others feel free to skim through the video as per the timestamps provided in the description now let's understand what is prompt engineering prompt engineering is as much an art as it is a science a very creative line we'll come back to this once we understand what is actually prompt engineering prompt engineering is made up of two words prompt and Engineering prompt is nothing but a detailed set of guidelines or instructions given to the llm or generative model to do a task engineering is developing iteratively a task specific prompt to enable the generative models or llms to Output a perfect or near perfect outcome that you have focused for so if you see prompt engineering is an iterative process how first is the idea that comes to you that you want this then you have prompt you design a prompt then there are results you give that to your model your chart GPT okay and then you have to test you have a feedback right so basically it's a process a iterative process now once you have the prompt and you have the results you might be not very much satisfied with the result this is where you develop or you have a conversation with your chat GPT with your model and enforce or reinforce the model to give you a good result a good output which is what you want for example if you have a task on on code Generation Now a specific problem statement can be solved through various methods for example you want to uh output palindrome palindrome can be done by Brute Force palindrome can also be done by recursive method recursion for example when you give chat GPT a prompt it will first give you a brute force method you have to keep on instructing and providing an attempt or providing a prompt to chat GPT so that it gives you an optimized version for your code this is an example for code generation similarly suppose you have content creation you want to create a content and your content that you want to create is directed towards a specific target audience now when you give chat gbt a prompt the results it will show you that might not be satisfying enough you have to tell your chat GPT or your generative model iteratively what you want give them a feedback for example you have not received a good output what will tell your chat GPT for example this is not I want please generate the output based on my target audience or based on my feedback provided right that's where your feedback or test comes into picture you have to have a conversation with your generative model or for in this case if you say ch GPT give them a feedback constant feedback it is good it is bad it is what specific part you want it to be changed right all these things are an iterative process that's why we say prompt engineering is an iterative process based on the guidelines or the detailed set of instructions that you provide for a specific task now let's go back a bit we said when we started about prompt engineering that it is an art as it is a science how it is an art it is an art because when you conceive an idea and when you write a prompt it is your creativity which comes into picture however the science part comes in when you provide your generative model or llm or in this case chat G P The Prompt and it gives you the result because in the back end there is something called generative models there something called different Transformers or architectures that are going into picture where billions of parameters are playing a role to give you this result that becomes your science part of it that's why prompt engineering is combination of both an art and science now that you have understood what is prompt engineering let's go and see the vital the main element of prompt engineering that is prompts without which generative model chat GPT will not work prompts are constituted or it contains two parts majorly that is parameters and structure what will be the structure and what will be the parameters of your prompts that when you design it you have to think so that you have an optimized result now structure is one thing that we'll talk more about and parameters here let me explain I have only Selected Few parameters you can search more there are more parameters on which uh prompts work major here we are highlighting only three parameters that is temperature top p and max length temperature is the randomness that comes into picture when you provide that parameter to your prompt it ranges from 0 to 1 and if you want your model to be creative and generate creative answers or generate creative outcomes your range or you set your temperature to 0.7 to 0.8 however in task such as code generation you don't need creativity so you can set your temperature to zero also where you do not want creativity now top p is actually kind of same as temperature it also has creativity top p is top probability that it selects from so you have a generative model it generates results based on your prompt now there can be n number of results how does that model decide what to put as a output for you here top P comes into picture more the top P more you have different creative answers right so low for factual high for diverse last is max length again it is written manage your response length this parameter is to control the cost of your generative model as well so now you have understood what is prompt engineering what is a prompt and what are the two main components of your prompt that is parameter and structure now let's see components of a good prompt what we mean by good prompt is that your chat GPT your generative model gives you a good output your good outcome and you have less feedbacks for your chat GPT or generative model now let's see the first or I would say the first two are context and instruction these are interchangeable how you want to design your prompt if you want to keep instruction first and then context in your prompt you can do the same if you want to keep the context first and then instruction you can do the same context is an additional information that you want to provide to your model instruction is a specific task that you want your model to perform for example if you want to summarize some text that is your instruction summarize your text summarize this text context is why you want to summarize what is the outcome you want to achieve for example going back to Tesla there you are providing an instruction to summarize but the context is that you want a Business Report from a business report you want what is the profit from 2020 to 2023 right so that is the context that you need to set why do you want this why it is needed next is the input data okay what is your input data for the example Tesla example the input data is your business report or business article that you will provide to chat GPT and output indicator is what how what and how you want as an output for example you want in a CSV format your output suppose you want in a tabular format or you want in a graphical format so you have to tell what kind of output or what format of output you want so these are the four components of a good promt if your prompt consists of these four things you are enabling your generative model your chat GP to give you better and good results now let's see an example here we will see um sentiment analysis we are setting up a context it is written act as a analyst you're acting as you are asking your chart GPT to act like an analyst working for an OT platform you are saying your chat GP that you will have to perform sentiment analysis based on the feedback provided by the consumers you are working for an OD platform your consumers are the users that are seeing your movies your web series now the feedback that they provide on that you have to do sentiment analysis this is the context that you are giving to your chat gbt now giving this your charity knows that they need to think from an analyst perspective they need to do sentiment analysis now second is instruction you are saying to chat GPT to classify the feedback into neutral negative positive where you are instructing or telling your chat GPT that what is positive positive means your consumer is your promoter negative means they are demo neutral means they are neither promoter or demoor they are neutral towards your content this is the instruction that you give what the chat GPT or what generative model needs to do this is what it is doing classifying next is your input data and your output indicator before that let's see an example a good prompt while you giving a good prompt if you give examples for your generative model here in this case we are using chart GPT if you give them an example they will learn from this example and train your input data to give the output here we have given two examples feedback first feedback is I think the series was okay second feedback is the acting of each character in the series was awesome so I think the series was okay it took this okay as neutral so this is a sentiment neutral here awesome it took as positive so your sentiment becomes positive now your input data is the story line for the series was repetitive and abysmal and your output indicator here is sentiment what is the sentiment for this you're asking your chat GPT what will be the sentiment of this entire prompt that is your context that you have given which tells charity to act as an analyst and do sentiment analysis it gives an instruction to classify the feedback provided that is your input data and classify that feedback into positive negative and neutral here you and here you are giving examp examples for the same so that your chat GPT can understand learn and then act accordingly now the output for this particular feedback is negative so if you copy paste this into your chat GPT it gives you a output as negative for this sentence so this is how you should write your prompt which is good these are the components good components of for your prompt so that the output that chat gbd generates for you is exact for you to work upon so this is what we understood about components of a good prompt now that you have seen what are the different components of a good prompt let's have a look at a good checklist that you can keep in mind while designing a effective prompt for better results so the first one is defining the goal telling chat gbt what exactly you want to do that is called defining the goal next is detail out the format format is output format that you want chat GPT to provide you for example as I told you previously it can be table paragraph list csvs anything that you want and you can give it in a priority order also ask chbt to give you in a priority order if you are working on such uh content next is creating a role if you remember the previous prompt that we discussed while learning about components of a good prompt we told as a context act like a analyst that is creating a role so that chat GPT assigns or processes based on your request based on that role that you are have asked next is Clarity who the audience is or clarify the who the audience is basically you are telling chart GPT please generate the output based on the demography of my audience whom I am catering to it can be beginner level intermediate Advanced if you are creating any content if you are creating code it can be foundational functional expert based on the audience it can also if you a teacher and you are using chat GPT you can specify I want to teach fractions from a sixth class learner perspective or if you want to create a Content or if you are working on something and you want to make someone understand that particular concept for example I want a 10-year-old to understand what is prompt how would I make that particular learner understand that kind of clarity that kind of clarifications when you put in your prompt what is your target audience it will generate tailored feedbacks tailor outputs for your prompt next is giving context basically you are giving every possible additional information for chat GPT in your prompt so that the purpose of your request is clarified to chat gbt and the response that it generates is what you want next is giving examples we saw in the previous components while we were understanding components that giving example trains your chart GPT or or makes it understand that what you want and it learns from it to produce accurate results next is specifying the style it can be communication style if you're working with a brand it can be how your brand Works communication Styles such as informal formal what do you want to do so it's suitable for your response next is defining the scope when you outline the scope with specifications besides giving context and examples chat GPT operates within those parameters for example temperature when you are telling okay I want to be creative my temperature is this I want my uh top P to be this right you are defining the scope for your chart GPT applying restrictions restrictions becomes your what is supposing length that you want the output length the token length that you want a there is a restriction but what is that you want when you apply those restrictions that constraints will create right boundaries for chart gbt to produce relevant responses so all these are checklists that you can keep in mind again these all uh pointers in your checklist revolves around all the components of a good prompt that we have already seen But as a checklist you can keep in mind that okay these are my pointers which I can follow when I'm designing my prompt so this is how you can write a good prompt so now let's understand what are the different prompt patterns one is your persona patterns act as X do the task as why as a yoga instructor create a beginner friendly routine for joint Mobility for example this is your persona pattern next is your audience Persona pattern for example in the previous bit I told explain this concept supposing prompt explain prompt to me assume that I am a 10year old child or another example that is there explain the importance of eating greens assume I am a skeptical child so you are trying to tell Chad GPT that what is your audience Persona and you are writing your prompt or designing your prompt having the correct bits explain to me assume I'm this or previously Persona pattern act like this next is visualization generator pattern now I have a tool I want to generate a data for example and provide that data to my tool so it can be generate X that can be provided to Tool y for visualization for data analysis for anything it can generate data in table table format it can generate csvs that can be provided that you can download and provide it to your tool for visualization data analysis task modeling uh machine learning tasks anything so these are the first three prompt patterns Persona pattern audience Persona pattern visualization generator pattern now let's see the next pattern that is recipe pattern for example you want to do X task but to perform this x task there are steps or subtasks a B and C so I want chat GPT to have a complete itenary generated for me if I'm traveling from Bangalore to daring and from there I can take a train or a cap to dodging now based on this I am telling charj to complete my itary this is a recipe pattern where you know you want to do X task and you know that a b c are the sub uh tasks or the steps that are necessary for you to do that X task so this is the recipe pattern next is your template pattern where you provide or as a user I provide the chat GPD or generative model with placeholder with a template and a placeholder so that my output chat GPT fits my outputs in those placeholders for example I want a day wise travel itinary if I'm visiting to Paris I'm telling Chad GP to generate day wise travel itinary for visiting Paris now my placeholders are day for the day uh of the travel supposing Monday location in Paris what location I'm traveling to activity what in that location I plan to do time what is the best time or best part of the day to travel or to go there this is my entire template and how I want the uh output it's indicated for day visit location at time for activity so if Char GP generates it will give you for Monday visit location X at time noon for activity visiting museum for example so this becomes your entire output and you're giving the template you're giving placeholders that place my information in these and generate output in the form of this line for day visit location at time for activity containing everything so these are your five prompt patterns that you can embibe while designing your prompts so that you have better responses from chart GPT and also you understand what you want to do you have a Clarity what you want to do and work accordingly if you want a pattern where you want Chad to act as a person where or you want to give a idea to Chad GB what audience you catering to or you're doing visualization or you're doing data analysis what is your pattern if you are doing a task which contains subtasks or sub steps what is the pattern you follow and if you have a template in mind how you want your output to be generated then you have template pattern so all these five patterns you can keep in mind along with your checklist while designing your prompts let's now see common prompting errors so vake or ambiguous prompts when you just write what is joints what is prompt engineering that is your vague ambiguous prompts where you do not have any context instruction what to do just vague prompts then there are biased prompts where you are designing the prompts supposing you have two categories and the data or the instructions that you are providing the examples you are providing is leaning towards one and now the second category is left alone that is your biased prompts third is lack of contextual information you have just said okay generate the content uh for fractions but what is the target audience that you are uh acting are you a teacher that you are teaching is there any template is there any flow that you want to follow are you looking at creating a course are you looking as at teaching uh fractions as a uh slide you want or as paragraph you want anything any contextual information is missing then you have insufficient examples you do not have examples for example you just saying generate synthetic data for doing sentiment analysis but what on you need to provide some content some information that okay this is my data now based on this you generate synthetic data in a CSV format for me to do sentiment analysis that is lacking your training data or examples insufficient examples then there is complex or confusing prompts if you write full lengthy prompts but it is very complex it has several different informations such as you have Target information also you are acting as a uh target audience information you are acting as a uh analyst and you have target audience you have branding also you have campaigning also in that it is very confusing for chat GPT to pick one Persona and act or for example you are designing a campaign but you have given a lot of information you know check out uh Coca-Cola uh campaign that happened at this year or check out this campaign and design my campaign it is confusing when you give different reference points you need to be very clear you need to be less complex your prompt needs to be very simplified so that chat GP can understand last last is not testing prompts thoroughly you have given a very good prompt you have designed a very good prompt and given to chart GPT it generates something but you are not reading it you are blindly following what it generates you're not giving it a feedback you are not asking what it has understood from your uh designed prompt that is not testing prompt thoroughly and you will have less accurate uh responses and in some cases wrong responses now let's see what are the applications different applications of prompt engineering one is content generation you want copywriting advertising creative writing educational content you can do anything and everything under content generation based on your target audience based B on who you are catering to next is customer support and engagement there are various chat bards and virtual assistants that can use generative models and instructional guides as well so that your customer is engaged you do not need human as resources to reply to your customers there are generative models that can help you with act as a human and reply to your customers at all times 24/7 then there is data analysis and science data cleaning data preparation visualization as we talked about whatever you want to do you can give an input as your data there would be a size limit you give and you take tell to clean you generate the code you can ask what to do when you are doing statistical analysis on this kind of data what tests uh hypothesis testing to do so all these come under data analysis and data science then application comes under code generation and software development that is automating your code writing debugging document generation documentation so all the is using chat GPT or generative models you can they can make your life easy they can generate a code for you whatever you are looking at but you have to be very specific you have to be very clear what you want so that your output your response from chat GPT your generative models are customized based on your prompts next is research and information retrieval like for examp example text summarization question answering anything and everything you can give links as a context and tell that okay these are the specific researches done in this field based on this give me your hypothesis what next can be done for example next is machine translation information sharing internal communication anything related to machine translation then sentiment analysis consumer feedback analysis brand management marketing all these things using sentiment analysis can be done and prompt engineering is used to create tools for this other domains include Healthcare where you can do diagnosis you can create a system using generative model to diagnosis for a disease and you can prompt design prompts that okay my patient is this it has a history of this now these are the symptoms what is your diagnosis Manufacturing in manufacturing if you want to supply your manufacturing and your suppliers you create an llm you create generative model where your users your employees can ask if I'm manufacturing this if I have to transport here what to do what not to do everything the mesh the network that you have in manufacturing industry it can intake and give you output results based on your prompts then comes security security there are attacks they can be a lot of AI tools that can be used to prevent those attacks to prevent your systems you know without failing last is retail and shopping that is e-commerce in your OT platforms or shopping e-commerce mintra different websites Amazon they can use generative models to intake all these things and you prompt that okay I want this and it helps you with retail and shopping so these are the various applications for prompt engineering now let's write a few prompts so that you can understand what are prompts how to write them so we are on a prompt engineering course where you understanding the outcome of this course is for you to understand what is prompt engineering how to write a good prompt right so let's give chat GPT a simple prompt that is what is prompt engineering and let's see what it tells us it starts generating and it tells you what prompt engineering refers to what is crafting and refinement of prompts and generates responses from AI language models such as GPT then it's saying that prompt engineering involves considering various factors such as language used in promt structure of prompt context effective prompt engineering can significantly improve performance and usefulness of a AI model models in various domains such as including natural language understanding text generation dialogue systems Etc if you see this is a query that you have put which you can also put on Google and get different links not a text not a paragraph but different links where you can open the links and read it here on chat GPT when you enter what is prompt engineering you get this a definition a elaborated explanation of what the generative model that is chat GPT that uses GPT as a generative model understands about prompt engineering and it tells you their perspective of it based on the different parameters that it is trained on now let's see another example suppose I want to travel 5 days in India please make me itinary I give this a prompt according to chat gbt understanding it'll give me this arrival in Delhi I have not said that where I'm arriving from it assumed arrival in Delhi day two Delhi to Agra day three Agra to jaur day four jaur sightseing day five jaur to Delhi and it tells me when you are in that day you arrive in Delhi for example it is capital of India visit historic landmarks like red Fort explore bustling streets of old Delhi experience optional visit is hu's Tomb or Kum Minar okay again day two it's giving different or day three it is giving different options I have not said here what I like I have not said whether I am a beach person or a mountain person or a normal uh I want to travel uh which kind of places hot cold nothing it has not asked also this is my random prompt that I have given chat GPT now let's see a different kind of example I have a passage of three four sentences I want to summarize in one sentence right I am giving an example that my example text is scientists have discovered a new species of orchid in rainforest of South America and the output that I'm giving is a new species the entire sentence okay now my sentence or my passage is on prompt engineering and involves crafting precise contest Specific Instructions and queries and these prompts provide guidance we can enhance model performance achieve better control over generated output and address limitations associated with open-ended language generation and I want to summarize this into one or two sentences right this is my prompt I give this and this is what it gives me however this is isn't it feeling as same now if I say please shorten this further for example I don't want this much I want short and crisp it still gives me this again I say B please be concise now it gives me prompt engineering uses precise prompts to guide language models improving performance control and overcoming limitations in gener ating responses however the first one when I asked please shorten this further it said crafting precise instructions called prompts to guide language models and shape their output it enhances model performance offers better control over generated uh responses and addresses limitations of open-ended language generation if you compare this output with this out put some information is lost some information is retained while making it conscise so you have to see what responses you are getting based on your prompts and give them a feedback what you want to do so these are some examples of prompts this is the first uh time you're looking at prompts in this course so we try to cover from basic content generation basic query based uh prompts to traveling itary without any information to Tex summarization where you are given an example and asking to summarize and giving chat GPT a feedback on it right so this is your first prompt now let's see different components and further analyze what is a good prompt now let's look at few examples so that we can analyze what are good Proms and the checklist that we have seen the pattern Persona patterns we have seen the components that we have seen how to integrate that while designing your prompts now let's see how we have designed this prompt and what all components we have included in content generation where where we have written provide a comprehensive overview of tech summarization which is our main topic or concept that we want to understand empowering Learners to grasp its significance and potential applications across diverse domains so basically with this line we are telling that we want our Learners to grasp what is summerization for different domains it can be for manufacturing domain it can be healthc care but what is Tech summarization we want our Learners to understand that now we have given some guidelines also here you need to follow below guidelines while answering we are telling chart GPT provide an insight into Tech summarization a tool for condensing lengthy text into short shorter and more manageable versions second we say explore various techniques like extraction abstraction used to achieve this and provide Clarity on how it works third we are saying provide relevant examples of different domains and use cases where this text summarization can be applied fourth is explain te teex summarization how it is evolving and innovating with advancement in Ai and machine learning offering customized solutions for diverse needs we are also giving extra instructions also that while providing insights the Learners are from different domains and have just the preliminary knowledge of tech summarization cover the basics so for that you cover the basics of text summarization techniques highlight key Concepts without diving into overly technical details what not to do we have also specify this approach will cater to our audience's level with familiarity of the topic we can tell the level also here but let's see how it responds give explanation in clear straight forward American English we are telling the scope also we are telling the communication style also ensuring the accessibility and understanding maintain a clear and straightforward tone ensuring accessibility and ease of understanding for all Learners now let's give this prompt to chat gbt and see how it responds so it gives text summarization is a powerful tool used to condense lengthy text into shorter more manageable versions it's basically taken what we have provided and given as a definition making it easier for leaders to grasp main points without going through entire document now this is now breaking our key con uh aspects into better understanding insights into Tex summarization where it tells that it can be thought of a process similar to what humans naturally do when they summarize an article a book or a conversation the goal is to extract the most important information and present in the concise form that's okay that is the Insight that it is giving now we also highlighted that please ensure that you are using extraction and abstraction also to explain text summarization and along with that use examples in use cases also where it is highlighting what are the applications in various domains in news aggregation academic research legal documents that is your law in branding social media in customer feedback analysis which different companies uses then it is giving the evolution and advancements with time what has done customized summaries multimodel summarization realtime summarization evaluation Matrix various things that has evolved in text summarization now if you want more insights on Tech summarization where you want different techniques for it to explain different techniques you need to tell please explain further more or elaborate further more on techniques used on extraction or abstraction or give me more examples not application examples so if you see here it has given use cases the applications across it has not given examples so you can say this is my feedback to you that the explanation that you have generated is missing example I'm not able to correlate what is given here what you you have generated here right so you can tell the examples are missing you can also tell that Evolution and advancements does not tell me when it started does not tell me a history Evolution means history it is not telling me that so all these are your feedbacks so that you can have a output you can have a response a final response that gives you what is Tech summarization what is the significance of Tech summarization what are different techniques of tech summarization what are the different examples of tech summarization what are the applications how it evolved when it started what are the different things what are the different advancements in using AI now so you can definitely work further more now this was chat GPT 3.5 let's now see in chat G gbt 4 we create a new chat and give the same prompt to chat gbt 4 also and see how it responds what is the difference between four and three we have given the same prompt not changed a single line here so it has generated an output where it generates a content on text summarization if and if if you note the first line it has not taken the same thing that we have given as prompt it has written and explained in its different words or different explanation what is text summarization which is a powerful tool in the field of natural language processing designed to condense long pieces of text into shorter concise summaries now it tells you the techniques of text summarization which is abstraction and extraction with tools and various examples of it various applications of it now it tells you applications across various domains as well which is closely the same as 3.5 again this is also missing your examples it has not given you any example in evolution if you see it has given how it has evolved you can also give a feedback to chat gp4 that I want a timeline Evolution for Tech summarization and it has briefly explained some advancement again as compared to 3.5 that is missing which you can give as a feedback and it can improve upon so this is what code content generation example was in both chat gbt 3.5 and chat aity 4 now let's see a different example that is Tex summarization we learned about Tex summarization now you have fairly a good idea what is teex summarization you give what you want to understand and it summarizes and gives you output summaries basically of what you provide now let's provide chart GPT an article and ask it to summarize it so we have the tech summarization example here where we are given an article on Indian Express based on Tesla policy and we have asked that use pinto pyramid principle and we have given the link also to that to structure your communication from top down ensuring Swift and clear message delivery start with the conclusion follow with key arguments and then support with detailed information give only relevant information that is appropriate to understand business outcomes only use clear and straightforward language for better understanding so we have given a context an instruction we have not not given an example here but we have given clear instruction and we have given restrictions also we have given a style also that be straightforward right you can further give that okay uh make your word limit to this much only okay so let's first see what it generates so in pinto pyramid principle we write a conclusion first then we write key argument why we have concluded so basically if you are having a conversation and you want to conclude that conversation you will write that conclusion first then you'll write your key arguments okay this is why I'm telling and then you write the detailed information that is related so basically we want because we are asking for business right business needs conclusion first so we have concluded this ver that India's decision to lower import taxes on eveve could potentially pave the way for Tesla LED by Elon Musk to enter Indian market now key arguments are lowering import uh taxes Tesla entry into Indian market boost for India's EV industry then we have detailed inputs from that report only that are mentioned here right so this is a text summarization in a structured way text summarization can also be if you go back in the first prompt that you have written where we had four five lines and it summarized for us that is also text summarization this is a structured text summarization where you do not need to go through this whole article of Indian Express and it gave you a conclusion it gave you key arguments what it presented in the article right so this is an example for text summarization now let's do an example on code generation which mostly from people from Tech domain or data domain will use charity for right so the prompt has a python recursion uh code for calculating factorial where we are defining a method to calculate factorial if n is equal to 1 equal equal to 1 return n else return n into calculate factorial we are doing recursively right now the same calculating factorial we have done with non-tail recursive function right we are giving an example on that as well now what we want is to write a program with recursive function function to check if a string is palindrome in python or not right where we have given two examples of recursion on factorial and now we are asking chat GPT to generate code for palandro now this has given that okay with comment that this is the base case if the length of the string is zero or one it's a palr compare the first and last characters of the string false okay return false if it is not equal recursive call check if the substring excluding the first and last characters right so this becomes your output now this function works by recursively checking if the first and last characters of the strings are same okay you can also uh in your prompt say uh please uh explain line by line as well if you want further elaborated explanation as well though it has uh given comments right you can further ask give me further more explanation for this now let's see the same thing in chat giib 4 in chart JB 4 it actually has explained what is this function what it does where Len is equals to 0 A Single Character what it will do both cases will be true it runs returns true okay what is the recursive case first checks if the first and last characters of the string are same calls is palindrome it is telling each and everything that the function is doing this is equivalent however this is a little bit optimized version of 3.5 now you can see a difference between how or what 3.5 generates code for a specific problem statement and how four generates so basically four is more optimized for uh code generation rather than 3.5 in 3.5 you can iteratively ask please optimize please optimize this please optimize this right in four you can do once or twice and then actually it will give you an optimized version for the same and you can write furthermore to uh refine your prompt you can write please give me the complexity time complexity storage complexity for the same space complexity for the same right so these are the examples for a good prompt where you are giving a context where you're giving an instruction where you are giving a restrictions we are doing where you are following items from your checklist where you are following a pattern uh to provide a pattern to your uh chat GPT as well so these are some of the examples that you can refine more you can experiment more with Advanced prompt strategies these are different prompts or different types of prompts that exists we are taking only three types zero short few short chain of thought process that's it there are several different more strategies that exists like self-consistency tree of thought respond rephrase Etc you can go and look dive deeper into the same let's not see what is zero shot zero shot is directly instructing your model that is chat GPT to perform a task without any additional examples for example I just say classify my feedback into neutral positive and negative and I give us line that is the input and it outputs the sentiment that's it this is my zero shot few short is teaching with examples that we saw previously where we gave two examples and third is our input where we are indicating how we want the output and it gives the out output for the same so that is few short zero short is without any example any prompt without any example where you are only telling the instruction that's it no context F short is giving examples for chat GPT to learn and produce your response now Chain of Thought Chain of Thought is designed for logical tasks anything logical it is the best prompt strategy to follow you give in Chain of Thought an example how to do a process for example you are adding you are given an example 2 + 2 is equal to 4 then you say 15 + 4 = 19 then you give an input okay I want 3,150 + 10,500 what will be my answer you're telling how to do the process and then you are asking in your input what will be the output this is very basic there are complex problems for example blood relations X is related to Y so what will be the relation for Zed with X so all these logical questions all these logical uh and complex bits is for Chain of Thought now let's see examples of these three prompt strategies on chart GPT so that you understand it better how to work with these on actual playground let's now see few examples on these Advanced prompt strategies zero shot few short and Chain of Thought now zero shot is giving no examples just giving the instruction just giving what it needs to do so we'll take a simple example very generalized example where we are generating a passage in the style of William Shakespeare okay we are giving this prompt based on what chart gbd would have been trained on it has given a passage from of William Shakespeare but from where it is from you can ask from where this passage is from the passage I provided is an original composition written in the style of William Shakespeare while it captures the language imaginary and themes often found in Shakespearean work it is not directly derived from any specific text by the B do did you want the same right you need to give the feedback now I did not want in this manner I wanted a extract uh from his own plays or his own uh poetry and given and as an example right or is it following what you want right you can give that as a feedback as well now this this is zero short if we want to make this as a few short we need to give an example we have given an example generate a passage in the style of William Shakespeare example is original text to be or not to be that is the question Shakespeare in style rewrite is whether this nobler in the mind to suffer the slings and arrows of Outrageous Fortune similarly in example two we have given all the worlds is a stage and all the men and women merely players right so now we say this is few shot it has given an example out out brief candle lives but a walking Shadow a poor player that struts and s his R upon the stage and then is heard no more right and Shakespearean style for this so this is an example of zero shot and this is an example of few shot right let's take another example where we say charity to translate it's a lot of William Shakespeare William Shakespeare right let's take a simple MO more simpler example where I say translate this English sentence to Spanish I am a Spanish reader I this is the English sentence I want to translate into Spanish I say this and it says it gives the translation for this now if I want to make this few short I'll add examples I'll add um more examples for the same I'll add uh say that okay this is my article I can give an article also and say please translate this these are my examples now take this article and Translate in Spanish for me I can do that as well so that becomes few short for the same in Charge 4 there is an option that we want to highlight is that you can click on this attachment add any attachment it can be data set it can be images and train your chat GPT that okay for example examp you want to train these are the picture of roses where you provide different pictures of roses and in input as an input data you give Lily and you ask what is it is it a rose and it tells you based on what images you have input is it a rose or not just a random example the same can be used for data science or data analysis different activities visualizations as well where you can give the data and ask chart GPT to analyze visualize the data and give you outputs for the same now let's see Chain of Thought Chain of Thought is said to be logical it works on logical bits right here in this prompt example we have designed few question and answer that is on blood relation where the first question is if Michael says Patrick's mother is the only daughter of my mother how is Michael related to Patrick we are giving the answer is Michael is saying that Patrick's mother is Michael's own Mother's only daughter this means Patrick's mother is Michael's sister making Michael Patrick's Uncle okay second example we have giving Emma is John's sister Mark is John's father Linda is Mark's sister and Thomas is Linda's son what is the relation between Emma and Thomas Emma is John's son making her Mark's daughter Linda being Mark's sister is Emma's aunt which makes Thomas who is Linda's son Emma's cousin right now our input question is Alex introduces Brad to his friend as the son of the only brother of his mother how is Brad related to Alex output is Brad is the son of the only brother of Alex's mother which means Brad is Alex cousin right logically it correlates the Chain of Thought correlates based upon your examples Chain of Thought can be of different types as well where you can give different examples uh complex examples as well and it works it is zero short also it is few short also so basically this comes under few short Chain of Thought prompt okay zero short is separate where you give directly what you want without more explanation in your prompt designs right and then there is automatic Chain of Thought as well so there are various Chain of Thought prompts as well you can explore more and deep dive there as well apart from Chain of Thought we have different prompting strategies as highlighted earlier we have self-consistency we have prompt chaining we have respond re rephrase We have tree of thought we have many Advanced prompt strategies which you can deep dive and apply based on your requirement your prompt design what you want to do with your generative models with chat GPD hope you have understood these three different Advanced prompt strategies zero shot with where you do not provide any examples few shot where you provide where you teach AI with few examples and Chain of Thought where it has three versions and is for logical thinking is used for logical thinking and logical problems then we understood what are the components of a good prompt what are the different checklist that you can follow to create a good prompt to design a good prompt then we saw what are the different Persona patterns that you can think of while designing your prompt following the checklist then we understood different Advanced strategies prompt strategies which is zero uh short prompting few short prompting Chain of Thought with examples we saw what are the common prompting errors that can happen if you miss something and at last we saw applications of of prompt engineering what are the different fields in which prompt engineering can be used so the key to becoming a proficient prompt engineer is to practice experiment with different prompts again and again give feedback to your generative models be it chat GPT be it Gemini be it any generative model analyze your outcomes what the outcome what response you are receiving and telling giving them the feedback refine your techniques refine your prompts based on the checklist that is provided based on the different strategies apply read about different strategies and apply them that is refining your techniques keep practicing stay curious explore various AI platforms to enhance your skills this is how you can become a proficient prompt engineer I hope you enjoyed this course thank you now that you have mastered prompt engineering let's dive into some exciting Tech applications of chat GPT first we'll explore chart GPT for coders discover how AI can assist you in writing debugging and understanding code making programming smoother and more efficient next we will take a Hands-On approach to build a python app using chat GP 4 learn how chat GPT can guide you through the development process from conceptualization to execution finally we'll show you how to build a website using chart GPT 40 from designing the layout to writing the code see how chart GPT can help you create a fully functional website with ease before going to the next topic that in depth into chat GPT or chat GPT 3.5 or 4 we have to understand a competitive comparison for chat GPT which is nothing but GitHub co-pilot right even GitHub co-pilot will act as chat GPT only but let's check out what are the major differences between these the first thing for those who are starting out to learn to interact with with gpts right it is suggested to use in free mode right that option is available in chat GPT only even though you have trial version of GitHub end of the day you have to pay for the premium version so generally a person who is well vered who is oriented towards coding technology and other professional aspects they can go towards GitHub co-pilot right so for free you can use Char GPT 3.5 yet again you have four where if you want to improvise your particular usage or there is lots of applications to be done in the interface you can go ahead for the premium version also but for student aspect it is very easy to access chat GPT 3.5 which is free and also it generates code for you with the explanation as well you can communicate as doubts to the chat GPT itself just you as doubts as or your teacher or anyone who is teaching you you can just ask your doubts to GPT itself right it's a virtual teacher for students if you want to apply chat gpt's application second Point chat GPT can help develop code and follow up on uh if the particular code is given by the CH GPT back to us if you want to ask any improvisation on that you can ask about it but one thing if you close the particular session it is very difficult to get it back or sometimes it is lost right so that is the problem of chat GPT but GitHub co-pilot is based on the machine learning so it is having the continuous learning and enhancing the suggestions over over time right it is not restricted compared to chat GPT so as I told chat GPT 3.5 is totally free to use and making fantastic option for the users to get started right and um although if it provides 60-day trial in GitHub co- pilot you have to pay after 60 days but charp 3.5 is not having the restriction on a trial perod or something the whole complete interface is free to use anytime right so you have to opt for the paid version or paid subscription for GitHub co-pilot after 60 days of trial that's the rule right just like other software systems so this is all about the comparison between the chat GPT and GitHub co-pilot now let's check out how do we use chat GPT with respect to two things the first one with programming expertise the second one without programming expertise so let's check out what is the major difference and what is the cons and Pros so using chat GPT with programming expertise we can incorporate Char GPT with our own programs or Services by using open AI API so we can do that if you have a good amount knowledge of what is going on in this particular chart GPT how it is build what is the back end and other llm ideas right large language model ideas you can just change the things you can make it more creative more intelligent chatbot or automated customer service system or any other language based Solutions you can create if you have programming expertise and you are using chat GPT with programming knowledge the underlying GPT model model can improve to be more domain specific on particular data set right so chat GPT can be used to help with uh having the code Snippets creating the documentation or come up with uh programming problem solving Solutions or ideas so all these aspects can be covered with the help of chat GPT and you can make use if you are a programmer we may influence CH dut's behavior and make sure it compiles with our requirements generally by being aware of the underlying architecture or APS if you are a programmer having a technical knowledge you know how chat GPT is built you know how the architecture is you can modify it accordingly and make it as the machine will think like you think right so these are the options you have if you are a programmer and if you want to use the chat GPT so next you have without programming expertise how do you use chat GPT and what all you can do we can communicate with chat GPT normally with day-to-day Words which we use generally we ask questions to our teachers in day-to-day classes right the same particular way you can converse you can ask questions to chat GPT it will give you the relevant answers you can get tips you can get suggestions you can obtain creative writing recommendations and discuss many ideas brainstorm with the GPT right so although GPT is a strong language model that can provide responses that resemble for those like you're talking to a person or any other human being it might not be able to comprehend sophisticated programming related questions right so it's not that you can use it to one extent but you cannot give the complete use case what's happening and you cannot ask the solution from the chat TPT it doesn't happen end of the day human brain is human brain and a machine made is a machine made right so you have to implement your idea to in order to particularly find a solution for your problem if you want a h if you want some tips and tricks you can use chat GPT completely depending on chat GPT I don't recommend personally so it is not a good idea also you can take it as a support you can take it as a learning aspect and you can learn you can take tips and tricks and Implement that in your day-to-day solution problem solving sessions but you cannot completely depend upon chat GPT so we won't be able to expand CH gpt's functionalities it's very much restricted like you they'll provide few of the options you have to use only that option you cannot just go do change or something just if you have a programming language if you have that particular API knowledge or programming the GPT or architecture or the API according to you that is a different case but you don't have idea much you only know to use the end product uh without the programming knowledge then it would be difficult it will be very much readymade item to be used for you right so this is the overall picture of using chat GPT with expertise of programming and without expertise of programming now let's use chat TPT to build programs so let's see what are the prompts we are going to execute on the interface first the first task we'll be going to do is we'll create a program to build BMI calculator and we'll also enhance and find the efficiency of that particular program and different methods how we can execute this program this applies to all the programs which I'll execute one thing I'll give you the multiple options with the chat GPT how to resolve one particular problem with different Logics and next I'll be also asking the chat GPT what is the efficiency of the previous method and the method we are executing now and how it is going how it is making the particular code efficient right so this will apply for all the three tasks the second task what we will do is we will create a program to display powers of two using Anonymous function as a third task we will check if two strings are anagram right so we will find out how the chat GPT will converse with us for the prompts which we give right so let's quickly switch to the chat GPT interface now so this is the chat GPT interface you have two options if you are a premium subscriber you can toggle between GPT 3.5 and GPT 4 right you can just go to this version or you want preferably using 3.5 generally people don't invest on the premium until unless is very much necessary for them so what do I do I'll give the comparison between the two interfaces but I'll be working most of all in chat GPT 3.5 to have to cater the broader audiences right now let's execute the first task which we listed that is write a program to find or calculate BMI right so I'll give enter and let's see it is giving us Direct a program in Python programming language how do you calculate body mass index that is BMI right so this is how the program look like and it will give you in the comments what it is doing what is this particular function for what it is applying how it is calculating what is the formula and how it is converting how it is interpreting the corresponding messages in the different categories whether if your BMI is less than 18 .5 you're underweight and if you're having certain middle range it is normal weight and it is crossing 25 it is overweight and above that 30 it's supposed to be obese so all these calculation interpretation is done and it is giving us the output right so the major thing here is it is giving you the program as in when you ask without having any other delay it is giving you the answer in seconds right so what you have to do to execute you have to copy paste into a python interpreter or online python executor and you can compile and run the particular program right so next I will ask what is the efficiency of the code above right it just normally how you talk you can talk to the system so it will give efficiency calculated uh with so and so time complexity is bigo of one and you're having overall structure an explanation is given what is the efficiency of this particular code which is put up above so it is telling it is having the time complexity of bigo notated one right so bigo one is the time complexity and which is okay it is not having a bad time complexity it is having a very good time complexity right so this is the overall structure it is giving you the explanation for the same now let's check the next method what is the option it can provide in order to solve this particular program right so any other method uh to calculate BMI you can just give this also and check what the answer is generated certainly there is another common method you in order to solve this particular problem statement in Python so it is giving a shorter code if you could see if you just compare in a Layman perspective this is a larger code and it is a shorter code again what is the efficiency of this code if I ask the same question the method is different now so let me ask the same question it says yes the time complexity is Big go of one again it is a good performance consideration and this is the overall report for the one single question which is been provided by the chat gpg so I will give the third option any other method we can Implement to calculate BMI so this is my last query yes certainly there is one more approach which involves weights in kilograms and Heights and centimeters so it is giving us the variations between I think in the previous one it was considering the weight height again it is giving you a variety of solution if you compare both of it you might not find much difference between these two or it might be the same program as well after one point of time if there is no solution no other logic applicable in any other way it will stop generating and it will tell start giving you the particular program repeatedly so that is when you understand there is end for it right because in 3.5 you have only the data up to 2021 right so it is not real time or it is not learning with the help of machine learning method with the help of users communication it is not learning much so whatever the data has been trained it is giving you the output right so this is how you communicate you can use this Char gbt to build a program this is the first task which we have completed now let's check out next program to write a program in Python and display powers of two using Anonymous function let me enter this and let's check how does this look right so it is giving you enter the limit of powers and uh it will calculate using the anonymous function the powers is calculated and it is displayed right it is giving you explanation what is happening in the code as well so let's quickly check out what is the fici ncy so what is the efficiency if you ask it will give you time complexity the complete details space complexity and it is going with respect to the generalized answer so let me again remodify this question I'll copy and paste the same efficiency of above code right so let's see I apologize for any confusion but I must correct my previous response so it is apologizing for us that it did not understand our question properly so now it is giving us this particular explanation with respect to time complexity and space complexity right so this is how chat GPT will interact so next let's check out any other method to solve the above query so I'm giving with the spelling mistake also but still it can Rectify what I'm talking about what is the decent question which I give the chat GPD that is powers of two calculation right so again it is giving us a different logic here right you can do this two and fr right you can just have a lots of conversation with the GPT and create the programs which you require as per the logic you want and it if you want a shter code if you want a lenier code if you want a efficient code depends upon the input you give and the chip will give you the output accordingly right so let's execute the third task let's have a program executed let's build a final one now let's try out the last one write a program to check if two strings are anagram so let's learn how this particular answer is provided right so it will first give you the function to check if two strings are anagram and it will give the length it will check the length and it will give the frequency of the characters of the both particular strings which given all character frequency should be zero for anagrams so it will take the input from the user it will check whether it is an anagram or not it will give you the output so this is the basic program which has been created and it will give the explanation how it is moving as well right so let me take that particular question what is the efficiency of the above code so if you ask this it will give you the time complexity and sometimes it will be giving you the space complexity as well so for now it is giving us the comp comparison of the time complexity and how it is producing the output how efficient it is how efficient it can be if you improvise your code if you cut shot your code if you make it much more optimized right so any other method do we have so let's have this question when you ask this question it will say yes we have another method to solve the particular problem of anagram so this is the output for the same right so this completes the overall picture of how do you build programs using chat GPT right so this is the output for you and this is how you Converse between the GPT and from The Real World right now let's see code interpreter in chat GPT so what is this code interpreter it is a feature which is still in beta version applied in chat jpt version four right so first let's understand what is code interpreter in chat GPT so the most recent addition by open AI to chat GPT particularly as I told you for chat GPT model 4 it is code interpreter which enables to execute the python code in real working environment and it will also have certain essential functions and boxed in Python environment where an python code can be run and for any other purpose you can use right it seems like it is only used for the particular programmers or oriented towards technological aspects building an application or something but code interpreter helps students also and Learners also it can assist in regular basic for variety of tasks as well right so this is the code interpreter in chat GPT now let's see how do we interpret code using chat GPT right so before doing that we'll have to compare two different aspects as I told you that is 3.5 and four model of chat GPT so chat GPT 3.5 is uni model the chat GPT or the chatbot which is version 3.5 only understands and interprets the text input it will interpret the text input only it is a uni model but CH J 4 can Now understand and process even images it accepts both text and image prompts hence it is multimodel right so the first comparison is unimodel 3.5 and multimodel 4 right CH 3.5 was failing to understand the nuanes when it comes to natural human language if you remember while I was executing I asked what is the efficiency and it gave the generalized answer efficiency is nothing but time complexity and space complexity but once I changed the prompt what is the efficiency of the above code it suggested it gave me the answer I apologize that I understood your prompt wrong and this is the answer for your particular question so it is trying to be much Humane compared to it is not being a machine like you it will just process what you ask and it will throw back the output it is not doing that it is trying to understand what is the aspect what is the human being trying to tell me right so that is how it is interacting in GPT 4 we can produce improvised poems you can write essays it is much more creative and it is having coherence compared to 3.5 right coming up to the third Point Char 3.5 has no code interpreter option right in code interpretation is not there it is just giving you certain coms in the code and giving the explanation for the code if you ask it will give the code documentation that's it it is not having The Interpreter right chity 4 has code interpreter which is in beta version only that feature is available let's see when we go to the interface charity 3.5 does not allow file upload or output download so uploading and downloading is not present in chat gbt 3.5 but in four we have the up loading of code file option also downloading the output option right so these are the differences between the chart GPT itself between the different versions or models that is 3.5 and four let's see what is the task we can perform with respect to interpret the code in 3.5 and how do you interpret the particular code in four as well so first I'll cover the theoretical aspect and let's then jump into the interface and check out the same thing right for the better equality and Clarity so first task is to have a program which is adding two numbers right obviously it is having a addition operator and two different operant adding 2 + 3 or 5 + 6 depends right we are doing a normal addition task number two we modify the existing code and ask for extra features anything we can add to that particular code I am thinking that we can do an arithmetic operation only set of arithmetic operation that is addition subtraction multiplication division let's see what does charp will suggest us to improvise our code right so let's converse with the charge BT 3.5 then how do you execute in 4.0 the same thing you have to do certain settings which I'll be showing then let's upload the code file and we'll try to modify the existing code and ask for the new feature in that itself also we will try to download the modified code code right so we'll be doing all this exercises now in the chat GPT [Music] interface now let's check out how do you add two numbers by using chat GPT 3.5 without having The Interpreter option on so how do you check let's see where the interpreter is available you have to go to the settings it says settings in beta it will say features if you see code interpreter is off for 3.5 you can switch on this and you can start working with the program and the prompt so write a program to add two numbers so I am just trying to execute it is writing a program very quickly any other features can we add to this program so I'm asking question it's only addition so what all can we add so it is suggesting certainly you can enhance the program by adding some additional features like input validation error handling and option to continue adding adding more numbers Etc right so this is one of the option given can we add other arithmetic operators to addition of two numbers if so kindly provide the program so I'm just asking like we ask others so it is giving you the complete arithmetic operation program here right so what it says of course you can modify the program and handle other arithmetic operators as well like subtraction multiplication and deficient right so updat version updated program is also given so how do you download this so you cannot download so let's ask how to execute this code in chat GPT let's explore let's ask question how does it work so it is telling install a python interface and then create a python file and then run this the follow the instruction it is giving you how to execute also if you are having any issues you can download the uh python software and you can start running your program by copying it to a python file right so what is the interpretation so what is the interpretation of the code above let's see that so it is giving you interpretation of the code completely function definitions are addition subtraction multiplication division you are having input validation so like this if you switch off this interpreter let's see can we get the interpretation of the code above still it will give the interpretation as well right so if you ask the query it executes the prompt actually so if you switch on or switch off but if you ask the interpretation it will give you or else by default it will give you the code right so now it's our turn to check out how does the chat GPT 4 will work so I'll take a new chat here I'll switch to chat GPT 4 and there is an option which is in default and plugins are getting sorted so there are different plugins you can enable right you have various plugins there so it is having plug-in store like it is giving about plug-in ideas so you have so many plugins code pad or it is having I'm just installing codepad just like that and uh you can install it's very easy click on this it will install and you can select between it right so it is having ask the code it is having ask your prf and it is having various kinds of plugins available already prompt perfect show me diagram so smart slides so Wikipedia everything you can just inculcate with the help of the plugin so here here there's an option to choose if you have multiple plugins you can switch between with the help of this particular option so I'm just giving a interface over view here before starting right again let's see settings we'll go to Beta features interpreter is off so let me switch on The Interpreter try a version of chart GPD that knows how to write and execute python code and can work with file uploads also so let's see the major difference now I didn't talk about the difference in 3.5 I just executed and I just showed you the different particular options available so if you switch on the code interpreter it did not change anything in the 3.5 if you go to 3.5 it will not give you any option if you on The Interpreter or if you don't on The Interpreter right why was that particular thing happening because I'm working in the premium version this settings this particular settings for beta features was applicable only 44 right if you log to a general chart GPT 3.5 which you're not having premium version this particular settings and beta this beta feature will not be available for you right so that is why when you executed the previous code in 3.5 there was no change if you select interpreter if you switch off if you switch on there is no change it was implying only for gp4 not for 3.5 right hope this is clear now right the confusion is sorted so now let's talk about GPT 4 gp4 had code interpreter in the beta version so I am selecting that code interpreter if you switch off let's check out once again to be double sure if you switch off and if you go back to char GPT 4 you could see only plugin and default right so that's the major difference so quickly I'll switch on The Interpreter I'll go select the code interpreter and if you see the change you have a addition option here upload option right we say plus symbol or addition option upload file can be done here so I'm selecting a code which is already existing I'm uploading the code that is a python file to chat GPT 4 right so with the help of code interpreter option so I'm sending this code file to chat gp4 it will give the overall picture what is happening inside the code file it looks like you have uploaded the Jupiter notebook file so it says interpreter example _ do ipynb and how can I assist with this particular code you have uploaded so please provide the output so you ask kindly provide the output it will work on that particular code file and it will try to fetch the output or it will not let's see finished working it appears the notebook contains only code cell so let's execute the cell to display shall we proceed it is asking so I'm just giving yes to that right when you give s to that let's see it is working it is finished work and the Cod sell in the notebook yes the program which I had given I had already given two different numbers that is 1.5 and 6.3 it has added and it is giving you the output for that is there anything else I want to do with this particular notebook so what do I do please add extra features enhance the code file and display and display the code so let me see how does this extra feature is added certainly however I need some guidance so what all I should do it is asking as only so please add arithmetic operators with addition so I'm just giving this particular input like try to execute yes it is saying yes operations I will add is subtraction multiplication division along with the addition so this is how this particular code will look like see the same input which I've given in the code file is only taken that means whatever the code file you have given it is improvising that according to your prompts provided it is not creating a own program if it is creating a own program the inputs would be different right so this is how it is improvising so I want to download the modified code file so let me tell I want to download this particular code file sure you can do that it is trying to wrap up into python code file might be so let's check out what it is trying to do so it is trying to convert this particular added features of this particular code file addition was the only thing which I uploaded but subtraction multiplication division is added that is the extra of each is added according to our instruction so it is giving us the downloadable link for this particular code file it says download modified interpretation example code it is giving us the name also it is modified right so if you click on the download link it will download if you could see the download has been done here right so this is the major difference which I was talking about how do you use code interpreter in 3.5 of CH GPT and four model of Chip so these features are available it is having a Sandbox of python it will try to execute in that particular environment add features give you output so many operations will happen so this is the overall picture and comparison between the GPT 3.5 and 4 with the interpretation option which is still in the beta version right so let's end this particular topic here let's check out the next one how can we improvise our code what do we do with Char GPT now the next topic of char GPT of cod is let's see debugging how do we do debugging giving a wrong input to the chat GPT and let's see whether the particular mistake or the error has been detected or not so let's proceed and check out our task to execute in the Char GPT interface so task number one I'm trying to copy or type or paste this particular code which is present here if you want to know what is the error I can say it is an index error actually let's see whether the GPT will recognize the index error and uh debug the program and provide corrected output is the first prompt we will ask the Char to and the second one is there any other method which we can be used in order to solve the same problem statement so this also we will try to ask the Char GPT interface in the debugging aspect right after the particular first example is completed the same thing we can do with the second example where let's check out what is the error which is been put up here right after the object I have not put anything I just mentioned equals and I just kept it blank so we paste the same code in the GPT and let's check out how does this work proceeding with the first task now here we are in the GPT interface if you want you can start off with a new chat or you can continue here itself so I prefer having a new chat so I am pasting a error code here in GPT 3.5 right so you can execute in four also but I prefer 3.5 for the execution so I'll execute this program find the error so let's see how it will execute the code you have provided mostly correct but there is a potential issue when printing the value using a F string the curly braces in the F string need to be formatted with the index value so one of the curly braces was missing here right so that is why it is giving a corrected version program here it is not telling us so you are not wrong it is boosting our confidence that you're mostly correct actually there is a mistake here it's like how we correct somebody as a uh teacher or a person who wants to teach something to a person who has made a mistake right we will try to convince okay you have made your attempt but your improvised code is so and so it is trying to be human enough and it is giving the output to the inputs provided right so the corrected version is been added here it is having indes that is index to axis this was missing it is giving the value here see index to axis it is giving this particular mest section and almost it was correct it was not missing anything but it is just trying to add and make the corrections accordingly and mention this particular error also here right so let me check out with one more prompt uh let me improvise this particular code so any other method we can solve the above program right so Sly here there's an alternative which is been provided so in this version of code attempts to access the value of the specified index within the tri block if the index is out of range it will raise an index error right which is caught by the except block so what it is trying to do it is using I catch block where nothing was present when I gave this particular code file so it is telling we can improvise see it improvised by adding if else it also added one of the logic to the same object the same input which is created so if else is not there here so it added if else it gave this particular comparison also if you could see index axis length with respect to that whether to check the index is within bounds or out of bounds it made this particular logic also accessible and which was not present here so these Corrections were told to us and it is made after doing all these things again it is having exception handling right this is how the particular error is detected given the suggestion and improvise the particular code which we have provided and it will give the improvised modified updated code for sback now let's let's check out the second example the second example let's paste that particular wrong code itself and see what is missing something is missing here let's ask find the error if you don't ask also it will say it seems like you want to create instance of a subass and call the overridden method so it is analyzing what I'm trying to do I'm doing method overriding actually and this is the particular code this was missing actually my subass was removed in order to make a mistake and put that to charge and ask for the correction obviously it detected and it is given the corrected code also right so it is giving the explanation how it will work so any other method I just gave any other method it normally I how I want to speak it is uh giving the prompt like that only and it is giving the output for us back so yes that is a method you can approach for by using super function right so it is giving a modified code as well here so this is how you debug your code if you're struck somewhere if you are trying to learn something or if you want to solve something you have done half of the work and you're not knowing how to proceed you can upload the error code into the chat GPT and try to ask chat GPT what is the error how do you correct it what is the modified code and any other method you can improvise so everything can be asked so this is how debugging can be done for your programs using chat GPT right now the next topic is exception handling using chat GPT right so we will provide chat GPT with the codes which is not having exception and then we will ask chbd to provide exceptions and let's see how it will respond let's check out the tasks in order to execute in chat GPT interface so the task one is I'm trying to copy paste this particular code which I'm using here into the chart jpt interface and find the type of the error and add an exception for the above code and then to handle any decimal index value I'm using the same particular program which I was using that is the index value error program but already we have seen the chart GPT has given exception to improvise the code when we asked in the previous execution but now we will try to reexecute and check the first thing is I'm trying to ask what is the error and I'm trying to add exception handling for that particular code and then I'm having a customized exception handling that is when a user will give uh like index value like decimals 0.1 0.2 so on and so forth what we do and how to handle that so we'll ask these questions to chat gbt let's see what is the response now let's see the next task that is Task number two we paste this particular code that is zero division error and ask for the exception it will find the error and provide the exception and then we will ask any other logic in order to solve this program right these two tasks will perform with respect to exception handling using chat GPT let's switch on to the interface now I can use the new chat so I'm pressing on the new chat here in the left and uh I'm trying to paste a codee which is having index value error issue and ask an exception to this particular code and get the modified code so I'm just giving a normal code and it says it looks like you have provided a simple python snippet that creates a list of a containing five elements and then prompts the user to put the input to the index the code and then access the value and it will print the index for the same if you have any questions about the code you can ask me so what it is Ping is what is the error that can happen in the code above so I'm asking a question what might be the error obviously the code you have provided these are the errors it can happen input type error and index error it is giving explanation also in order to solve this particular uh error you can use try except block right without us asking provide exception handling for this above code I'm just asking what is the error it might come if at all if it wants to how do you handle it is giving the complete try except Block in this particular modified code right so let's ask our customized exception handling question what it was discussed if user provides decimal index value as input how to handle so I'm just asking my own question in my normal language without any sentence Framing and it is trying to understand and give me the output right so what it is s suggesting us to do we will convert the floating Point indexes to the decimal value and then we will execute the program the first conversion is happening then it is proceeding right so this is how it will convert right if you want to execute this particular program and check how it will work and if you're having Premier version of chat GPT then you can copy this paste in the gp4 and try to use The Interpreter feature in the chat gp4 right so for now I'm stopping it here that we have got the answers exactly how we wanted and the GPT has UND stood our problem statement it is suggested what all the problems can arise the errors can arise and how do you solve that with the help of exception handing program and then again if you give a customized exception hand to be handled it is providing the program for that as well right so let's check out the second task and let's paste the code which is having zero index error and just work how it will take it coming up to the second task we are having a program here which is having the zero division error right so when you have this error let's see what it will do the code you have provided will incede cause zero division error because you are trying to divide by zero denominator is zero numerator is 10 so this is your program with error if you run you will get this output if you get that output how do you solve that you can use this particular eel statement else I can say please add exception for above code it tried solving by using IF Els but I want exception so let me ask please add exception for above code it will give you try and accept block right so any other method to solve the above statement or problem let me give it as problem here so when you do this it is telling are giving certainly there is another way to divide this particular 10 numerator with the denominator zero even though if you get a zero division error how do you solve it so this is what it is it is giving you the overall picture first we tried hand link asking what is the error just we didn't ask anything we just pasted the code it gave us the what error and it also gave the solution for us we didn't want a defs we wanted exception we asked for exception it provided the exception and any other method if we can solve this major problem statement if you could see it is repeating the same code what it suggested in if Els right here if you could see here as a solution it is repeating the same as another way it is going to and fro a lot right there's no much options it will start going to and from right so this is all about debugging your code programs by using chat GPT the next topic is testing using chat GPT so the code which you have created you want to test your code how do you do that so we'll be doing that with the help of testing and it can be taken up in ch gbt interface so prompt number one what we will execute we try to do the unit test for the above code any code which we have already executed we'll take that into consideration and we will try to execute so the problem number two suggest code Improvement ideas for the above code and Implement any of the idea and provide the code right so ideas will be given and out of that we will ask you can Implement so and so it will give the output accordingly so let's check out this particular testing how we can carry out in ch GPT interface here we are in the chart GPT interface and I'll try to add a code and ask the chart GPT to provide the unit testing so what it has done is as soon as you add and you give nothing as an input except the code you don't ask to perform any other operation it will break the particular program and try to explain you line by line what is happening right so after this we will try to ask perform unit testing on the code above right when you ask this sure I can provide you on the code above this is the unit testing which we can perform you have the code right here right away right it is giving the example and the explanation for the example right below the code right so this is how you do the unit testing so any other testing options available these are all generalized chat GPT prompts which I'm trying to ask my single doubts which I get while I execute I'll try to ask the same to the interface yes certainly there are other testing options also available except unit test T in framework you have many other options available apart from unit testing the first one is py test second one is dock test so all this modular testing is also going through here right so any other options available to solve the code above I'm just asking the question it is giving the answer here for us with a different type of solution and change logic right so let me ask the same thing what is the efficiency of the code above so when you ask this question it is giving us the efficiency of this operations being performed and size of the input list it depends upon that so this is the particular efficiency list it has been given with space complexity time complexity and every aspect right so this is how you do testing with the help of chat GPT and you can also find the various programs option and you can also Find the Errors if you want to you can do unit testing apart from unit testing you can Implement dock test P test you have many other options if you go on exploring right so what I'm trying to say here is you can start from building your program to get to your desired output everything can be done with the help of chat gpg we saw one by one we started building the program we started debugging the program we started having the exception handling inside the program and we also got into the testing of the code right so it is catering to every stage of one single program or application development which can be done with the help of chat GPT it can be a greater support for anyone who is learning programming or anyone who is expert and they want to explore more on both the aspects chat GPT will help for the coders and the non-coders as well right so this is this is all about the testing your code over chat GPT now we are in the next topic extra uses of chat GPT apart from building a code from the scratch up to the testing mode what all the chart GPT can do apart from these things we have several prompts examples here first we will try to access the code documentation for the code which is already existing and suggest any Improvement ideas we have been working for this and it is been suggesting it is already done but still we will do it again Implement any other idea and provide the code right we are just asking a open ended question Implement something and give me the modified code and we have one more prompt here create a dummy spreadsheet with four columns and fill it with 10 rows of dummy data format the resulting spreadsheet data as a table we'll check both in GPT 3.5 and 4 right we will do this fourth prompt in both of it right let's shift to char GPT interface now I'm trying to continue the same thing kindly provide code documentation I'm trying to provide one more prompt for the existing code file here kindly provide code documentation it is an extra prompt which I'm running so when I give this it will give you the complete code documentation here it's going on certainly code documentation is essential to make your code understandable to others so this is how it is the documentation is done inside the code in the comments right and it is given the summary at the right bottom right so this is how the code documentation will happen if if you ask if you don't ask you will have the comments but only limit comments if you ask for code documentation it will give you the complete picture right next any other code can we integrate to improvise the code above it's a random chart GPT prompt which I'm trying to explore right how far we can reach right certainly there are various improvements and enhancements you can do for the code which is mentioned above input validation can be done one thing Dynamic list you can give and error handling in the main you can put custom exceptions you can make so these are the four options which it has provided right so any other method available I'm just asking the questions if any other method we can go for it is going with a simple condition alternative method right so this is about how do you do extra work with the CH GPD even the documentation is sorted with the help of CH GPD for the code or the application of the project which you work on right so now we'll execute the fourth prompt I prefer taking a new chat for this now let's execute the fourth prompt which I was discussing now we'll execute that first in 3.5 GPD so I'm asking a dummy spreadsheet with four columns which is having name age income and City and 10 rows of dummy data to be put up in a spreadsheet table so let's see it is telling I am a text based artificial intelligence so I cannot directly create visual elements like spreadsheets however I can give you the table which is displayed over here you can what you can do with that also it is telling you can use Microsoft Excel or Google Sheets in order to get it into a particular format right so the format in the DAT table can be put up in Excel or Sheets if you want to choose Excel what you have to do select the data go to insert button in the ribbon and click on the table and you can just make sure you create a table dialogue box and you have table headers and click okay right so it is giving you an option I am not able to do this whatever you asked for downloadable Excel format or anything but I am a text based person and I can just give you the details here but you can proceed making a separate Excel or Google sheet file this is how it is giving the output for given input by the user now I'll go into new chart and select chart GPT 4 now we are in the chart GPT 4 and pasting the same prompt which we executed in 3.5 and let's see what it will tell us it is working in the code interpretor format which I have chosen to do let's see what it will give the output again we'll switch off the code interpreter and check once more how it will work right overall we are experimenting in this particular uh program or in this particular video what all it can do so here is the dummy data table it is providing us after execution so let's see let it complete all the 10 rows and what it will suggest us to do whether it is downloadable or non-downloadable how can it be done see that is the major difference between GPT 3.5 and 4 it is giving the downloadable CSV file with dummy data access right so what did we ask for we ask for a spreadsheet right so I'm asking a question it's my own doubt can we get Excel file downloaded for the about data so it's a non-grammatical how we think how we write it's very different so I've just given the prompt like that let's see you can download the dummy data and Excel format by clicking yes it is giving you an Excel format also it is giving you a CSV format also right so this is one of the plus point of using chat gp4 you can have a downloadable data so one last thing we want to experiment here which we discussed is by switching of code interpreter and just taking a default chat gp4 so when you click this what happens let's see so it will try to execute yes this is the table it gives you in the format of plain text so can you download let's wait and watch it is just giving you copy code you can have a copy option already readily available here so let's see after the 10th entry can we download the above data so I'm just giving a prompt I'm sorry but I'm unable to facilitate direct file downloads you can copy the text you can paste it in your notepad or document or wherever the situated places right so this is how it will make some difference when you have the same prompt executed in GPT 3.5 GPT 4 without code interpreter gp4 with code interpreter option right so this is all about the extra uses of chat GPT now we are in the last topic of this particular session coding limitations of chat GPT I'm talking about the limitation with respect to CH GPT 3.5 only Okay so the first thing is lack of context Beyond 2048 tokens 248 tokens after that you don't have any context how it will work 3.5 so generating incorrect responses at some instances that happened right when we tried executing different methods it gave us the same method repeatedly again as an alternative so it goes on incorrect responses or it will goes on on a Loop if doesn't find any other options so sensitive content and bias so verbosity and reputation it is having lots of repetion again the same logic has been repeated ever and ever again lack of clarification for ambiguous quedes so it will say I'm not the right person to answer to your query and you can do so and so options right it will promptly accept that it is not happening from it and it is giving an option how do we explore and go ahead about it so noncontextual responses also sometimes it will provide domain expertise and specific knowledge is lacking a little bit not completely available because it is trained up to one level it's not beyond the level so generating creative or fictional content so it is having a generation capability but only to The Limited extent not more towards more Innovation more creativity it's not available it is having certain limitations as well not a replacement for professional advice right every aspect it might not think it might f to think in every aspect human perspective any other consequences perspective any other situation oriented uh uh decisions to be made so all this cannot happen with the help of chat right Business Solutions business management product management operations management so Inventory management all these things we have to decide how the business is going what it is happening human mind thinking is very different than chat GPT thinking it is not completely matching but it is trying to match the thinking capacity as well but always it is not the replacement for professional advice so unpredictable output sometimes it happens it gives us unpredictable output it is confusing it we can still ask question and clarify but still as soon as it gives you unpredictable outputs it's very difficult to trace back if it is a bigger program I'm talking about bigger program aspect if it is a smaller one Modular One it's completely fine we can access it right so these are the code limitations of chat GPT 3.5 in particular now here we are at the last section of this session that is summary let's have a quick recap of what all did we study in this session the first thing we studied what is the chat GPT role and who is responsible to charge dpd to be developed that is artificial intelligence the major domain and the subdomain is been discussed introductory discussion happened after that we started comparing the competitors that is Char gbt and ghub co-pilot as well what are the major differences with respect to the premium axes response to the proms train data set Etc programmers and non-programmers who can use the chat GPT if at all if they want to use what are the pros and cons of using it right we listed everything and then many other prompts were demonstrated with respect to building the codee debugging the code handling the exceptions testing code documentation all the demonstrations were done apart from this we had extra uses also we tried creating a table a dummy data having certain entries inside it and we also saw the differences how the same prompt will be executed in GPT 3.5 and GPT 4 which is having access to down load the file in gp4 which is not present in 3.5 right so at last we saw a few of the limitations with respect to the architecture training data verbosity reputation sensitive content be Etc in chat GPT 3.5 by this we end the session happy learning thank you now let us see how to give the prompt to our chat GPT I will start telling that I want to build a game app that is rock paper scissors let my back end be Python and front end be HTML CSS and JavaScript I want to execute this on an online editor namely riplet so this is our instruction constraint because here I'm telling chat GPT that I want to develop a rock paper Caesar game where python is my back end and HTML CSS and JavaScript being my front end so we are setting a context next here so this is all about what we want to develop next is I want this for the target audience of college students and it should be for early professionals as well so let it be simple and easy to execute so this is where I am setting my audience pattern and the overall context is set here then let the creation of this be very interactive and with simple explanation and a stepbystep process which helps me understand and create these easily so this is our overall context that we are setting here so I want it to be very interactive so that it'll tell me what to do stepwise then please help me connect both front end and backend codes easily and explain everything from scratch so this is again an instruction so this is my entire prompt which I want to give it to my chat GPT so I will copy paste this PR prompt to my chat GPT here so I will go to my chat GPT and I will give my prompt if you want to know more about how to write these prompts in detail you can take up a course from our great learning platform and it is prompt engineering so now let us execute this prompt when I give this prompt so this is what chat GPT gives me back so sure let's create an interactive rock paper Caesar app using flask at the back end and HTML CSS Java for the front end here it's giving me step by-step guide to follow so it is telling me to sign in or login to ret.com I will show you a demo of how the prompt decoding Works in a moment but first let's go through the basic setup for our front end we are using HTML to structure our game CSS to style it and JavaScript to add interactivity HTM L will help us create the grid for the rock paper scissors game CSS will make it look appealing and JavaScript will handle the game logic such as detecting clicks and revealing winners on the back end we will be using flask a lightweight python web framework flask will serve our frontend files and handle the game logic on the server side this setup allows us to build a fully functional web app with python we are going going to use riplet an online code Editor to run write and test our code riplet makes it easy to collaborate and share your projects with others now I will walk you through the steps of building the rock paper scissors game we will start by setting up the front end files then move on to the back end with flask and finally connect everything together so here I can go to Google and I can log in into my reple account I have already logged in so you can create one account for your own so this is my reple account next it is telling me to create a new project so it is telling me to click on the create button and choose flask as the template so I can go and click on the create replate option here I should select flask as an option that is your template now I have to give a title to it so what can we give we can give it as rock paper Caesar game app okay so now create replate now once you click on create it will open a new page for us so now here we will be copy pasting our code so we'll see what is our next step our next step is to set up the back end that is python with flask so we have to open main.py and copy this code that is your python code so click on copy code here go to your dlet so this is our main.py so here I am copy pasting my code which I have got it from chat GPT next after this step it is telling us the step three that is to set up the front end so to set up the front end we have to create templates folder first so let me go back and I in main P now and here there is an option of new folder so click on this new folder and name it as templates okay now it is also telling me create a new folder name templates inside this folder we have to create a file named index.html so I'll copy the same name and I'll go back and here it is telling me file so I will copy paste my HTML uh file now so I have created an index. HTML file now next after creating it it is telling me to add HTML code so I will just copy this code and I will paste it here in my HTML file that is index. HTML okay we'll see what we have to do next next it is telling me to create static folder so I'll go back on the main.py click on main.py again create a new folder by name static okay and inside that we have to create two files now so one is style. CSS I will name a file as static. CSS so now after naming my uh one file name as CSS other file name is script.js I will create another file inside this by name script.js I have created two files inside static folder now so now I have to add CSS code so I have to copy my CSS code and I will go to my CSS file and I will paste the code here next next it is telling me to add the JavaScript code so let me copy the JavaScript code from here and I will click on the Javascript file and let me paste my code here next we will see what it is telling so step four is nothing but running the application on riplet so before we run in our into our execution let us see uh the main gist of what these files are now so this is the python file where you are setting the actual context where it is actually playing rock paper Caesars and all of that taking the input from the user HTML file where it is used for structuring your code so your entire web page will be set up using this HTML structure then is your CSS where you are styling your entire web page and then is your JavaScript which helps you to interactively connect everything on your code that you are developed so now once you understand it just about it it are we will move on to our step four that is your running the application on riplet so to run we have to just click the Run button on top of the riplet then you can access the game as what it is telling so now I will go here and I will run so when I run this code you can see that you have got an output so it is telling rock paper Caesar so if I click on Rock it'll tell you chose Rock but computer also chose Rock so it is a tie so when I click paper you choose paper but computer choose Rock so you win so this is how you can get the output for a single player computer being your another player so now we will actually Define our code I mean we will refine our code using chat GPT better for two players so I am just giving the prompt as rock paper Caesar should be for two person game so when I give this prompt here again it'll refine the code and it will give me the code so simply we will copy paste all the codes of python HTML CSS and Java from here on the same document that we have created so copy the python code I will go here and I will paste it in my python file so select all select we so I pasted it here now next let me copy HTML code so copy code go back to your riplet in your HTML file let me paste the HTML code next it is giving me the CSS code so copy the code go back to your replate go to your CSS file and paste your CSS code then go back to your chat GPT and copy your JavaScript code get back to our riplet let me paste my JavaScript code so after doing everything let me run my project now right so let me run so when you click on your run button again you got your new output for two different players so player one let me choose Rock and it is telling waiting for the other player player to let me choose paper so it'll tell paper is the winner right so it'll tell player two is the winner like this you can test for n number of options you will get the output as who is the winner in particular option or game so this is how you can develop the app using chat GPT as we reach the end of this video I hope you now have a clear understanding of how to develop a simple game app using chat GPT prompts and python the key takeaway is to break down the task into manageable steps and Leverage The Power of chat GPT to guide you through each stage we'll be using HTML CSS and JavaScript as our basic programming languages the coding playground of choice will be an online editor one compiler which chates gp40 by our site creating our Dream website is as simple as describing what we envision whether it's a portfolio a blog or an interactive application GPT 40 will guide us through the process ensuring we achieve our goals efficiently and creatively let's roll first let's open our Char GPT playground and let me select 4 o now let's see what will be our prompts I want to build a portfolio website let our front end be HTML CSS and JavaScript I want to execute this on an online editor namely one compiler this goes our instruction constraint to the GPT I want this for the target audience who have zero coding knowledge or at their learning phase like college students and early professionals so let it be simple and easy to execute and understand by them this sets target audience to the GPT let the creation of this be very responsive creative and with simple explanation and stepbystep process which helps them to understand and create these easily this sets context to our chat GPT please explain everything from scratch we are instructing chat GPT how it has to give us the steps great now that we understand our prompt let's execute this on chat gbt 40 and see the the results wow we got the results so fast and in a well structured manner for more information on chat gbt 40 check out our video on chat GPT 40 versus 4 versus 3.5 great let's quickly execute this to see our results how our website looks like we just copy pasted three different codes executing this codes is very easy on the online one compiler platform we just have to copy paste the relevant codes in the sections first goes HTML then comes CSS that is style as a third part we just copy paste the JavaScript code to the JavaScript container you can see towards your extreme right you have a preview window once you click on the Run button it will execute the complete code which you have provided and show your website how it will look like this is the basic structure of your portfolio website you can enhance the design color pattern responsiveness and add few of the actions as per the requirement as well thanks for joining us on this journey as we built a portfolio website with chat GPT 4 remember we covered creating a portfolio website using GPT 4 added customized designs and basic functionalities don't miss out to hit that like share and subscribe button for more more AI power tips and tricks until next time happy building your digital dreams now that we have explored some tech focused applications let's dive into the Realms of natural language processing and data analytics first up we'll dive into chat GPD for NLP discover how this AI can help you process analyze and generate human language making it a powerful tool for task like sentiment analysis language translation and more stay tuned to see how chart GPT can elevate your NLP projects and data analytics task to the next level hello to all I'm Niha we're going to explain you today a new topic using Chad GPT now what is it let me give you a hint unlocking the essence one sentence at a time is the Art of Tex summarization yes you are correct we're going to understand text summarization using chat JP so let's get it started what we're going to cover today our agenda is first we're going to discuss introduction to text summarization and then we're going to understand text summarization using chat GPT so introduction to text summarization so text summarization in natural language processing is the process of creating a shortened version of given text while detaining it most important information it involves automatically extracting or generating a concise summary that captures the key ideas and main points of the original text the goal of text summarization in NLP is to help users quickly grasp the essence of a document without highlighting to read the entire text thereby saving time and effort as well it plays a crucial role in information retrieval decision making and efficient consumption of textual data so this is all about Tex summarization a brief about text summarization now we're going to understand more about this using chat GPT so after the introduction to text summarization let's understand the concept using chat GPT so now we're going to understand the steps the basic steps of text summarization using python on a given text but before that we'll understand what are those steps are so as you can see that over here I have given a prompt that is steps to perform text summarization on a given text using python so you can see that first step over here is what before you can see one explanation is also there that Tex summarization is a challenging task that involve considering the main points of a given text into a shorter version there are different approaches to text summarization basically so there are multiple libraries which we can use for summarizing the text but as you can see here we have some limited libraries using that we're going to summarize our text based on a given text first step is install required libraries as I said you ensure that you have all the necessary libraries for summarizing the text next is two popular libraries for text summarization are nltk and genes so here you can see first we'll have to install the nltk then after we're going to import more libraries which is required for pre-processing the text so first is stop word which is the part of nl. Corpus then nl. tokenize which is used to tokenize the sentence into tokens and there we going to import word tokenize and send tokenize word basically we're going to tokenize the word send means when we tokenize the sentences next is obviously the last DIY which is used for summarizing the whole text so now third step will come to uh pre-process the text suppose if you want to perform any necessary PR processing steps so what you going to do you going to remove the unnecessary characters and converting the whole text into lower case we're going to remove the stop words you are going to tokenize the sentences into sentences or words as I can uh say over here by using this library that you can do that so here you can see that tokenize import word tokenize s tokenize basically is used to convert or will use to tokenize the text into sentences or words now the next is here is an example of pre-processing using nltk so what we are doing we are converting the text into lowercase we are removing all the unnecessary characters which we have in the text and then after we're going to tokenize into sentences then after we're going to return return the tokenized sentence after that we're going to remove stop words this is the next step to pre-process the text so in this what we're going to do stop words are the common words that do not carry much meaning and can be removed to improve the summarization process so here nltk provide a list of stop words that you can use here is an example how to remove stop wordss and this is the complete code for removing the stop wordss now this code we going to apply on the text basically from where we want to remove all The Unwanted uh words and all the unnecessary Words which generally the part of a stop word and which is not required during the summarization process after that we're going to generate the summary so basically what we are doing here we are pre-processing the text we are pre-processing the text means we are removing all the unwanted text basically from the text and at last we'll apply the final code to get the summary so here you can use a summarization method to generate the summary and here the summarize function from genim provide a simple way to perform extractive summarization here and here is an example for that you can see using this code what we are doing that we have separate sentences and at the summarization part we're going to join that single text into a form of sentence and that complete part we going to uh convert into a summary so the last is generating the summary so for that we're going to use this code summary is basically what you can use summarization method for that to generate the summary the final part the summarized function we're going to use in that and that summarized function basically use uh to summarize to get the important text out of the uh whole text what what we are using in this for text Su ization so this is all the combined code what we have already discussed here now this is the basic example of teex summarization using extractive method you can enhance the summarization by using other techniques like tfidf word embedding or neural network models so as I said earlier there are a lot of multiple ways to do the tech summarization so today we are just covering one of the techniqu and how to perform the text summarization by using this chat GPT and how it is so easy to use or to understand the text summarization by using chat GPT so let's understand that part now we're going to apply the text summarization technique we're going to apply all the code what we have discussed here on a g on a particular text so let's start that and understand how to perform text summarization till now we we have discussed about all the steps which is required for text summarization now we're going to implement those steps on some text to get the summarized form so here you can see I have given a prompt that python code to perform text summarization on the given text so you can see that the text is actually too long and we're going to understand how to perform text summarization on this given text is step by step so let's understand that so when I run this prompt what I am getting as an output over here so here you can see that we have a code based on the prompt what we shared in chat GPT and as you can see that first is we are importing all the required libraries then after we are using the text on which we're going to process all the pre-processing task then after what we are doing we are tokenizing the text into sentence we are token tokenizing the sentence into word by using this analytik do word tokenized function we are converting that whole text into lower case by using lower function then after as this is the part of pre-processing we have to remove all the unnecessary characters and uh you can see that we are removing over here all this stop words so common word with little meaning if you really want to understand more about stop word you can just ask over here as a prompt that what is basically stop words are so chat D will give you a complete explanation of stop word as well but in brief I can say that that those words which have little meaning and which is not so required in the text so we are removing all those text and which we call stop word by using this code then after we can see that filtered words and we have applied over here that complete code for that then after what we are doing here calculating the frequency of each word So based on the frequence frequency only we're going to decide that which word should be there in the summary then after the next step is rank the sentences based on the sum of word frequency and this is the complete code for that summary length that how many number of sentences you want in your desired summary so this is a complete code which we are getting as an output through chat gbt now you can see that here this is the complete explanation also we have first is as I said importing the necessary libraries then after downloading the required nltk resources using nltk down function assign the text to be summarized to text variable then after tokenize the text into sentences and uh how we're going to use that sent underscore tokenize function after that tokenize the sentence into words so whole sentence first will get tokenized into sentence then whole sentences will get tokenized into word by using word uncore tokenized function and then after we convert them into lowercase next step is removing a stop word from the word using a list comprehension we're going to talk about his stop words more but first we're going to implement this code into collab notebook that whether we are getting a correct output using this code or not next you can see over here that after removing stop words we are calculating the frequency of each word using frequency disc function that fqd dis function rank the sentences based on the sum of word frequency and store the score in the sentence score dictionary set the desired summary length summary length is basically uh is what the number of sentence you want in the summary like three sentence as a summary you want four sentences as a summary you want So based on that we will give the number number over there and we'll get the output then the third last step over here is select the top rank sentences using n largest from hip q and construct the summary by joining the S selected sentences with spaces and then after we're going to print that whole summary so basically what we are doing here first we are importing the required libraries then we will going to apply the pre-processing uh on a given text and then after we're going to summarize the whole text by after removing the stop words and unnecessary uh characters and at last we'll get the summary by using summary function summarized function so let's understand that what code we are getting over here so now let's implement the code what we have uh seen over here in chat GPT in collab notebook and when we Implement that we want to actually see that that the output what we are getting is correct or not so as you can see I have copied the whole code over here and when I will run this code let's run this code I'm getting over here summary and how many sentences I'm getting over here is three sentences why the reason is I have given the summary length over here three let's say if I give four over here and when I will run this code I will get I will get the four sentences and that four sentences will get joined and give you a proper summary based on Force so we have understood uh the text summarization each and every code of it and we have implemented as well that in the collab notebook just to get the confirmation whether we are getting the output or not so we're going to understand the combined explanation what I discussed with you into a step so in step by step we'll understand each and everything so we'll give you better Clarity that what we have done uh in text summarization so I have given the prompt over here for that that write the above code step by step with explanation when you give this prompt you will get all the code and in a separate way like in step by step you will get each and every code and parall you will get the explanation of each step so first first is import the required Library so all the libraries we have to give there because once we implement the library then only you will be able to pre-process the text you'll be able to summarize the text by using these libraries so first is analytic Library which is used for what natural language processing task processing task means like tokenization stop removal Etc second is stop from nltk dopus so in nltk do Corp Pur was it provide a common words to be removed from the text so now we'll understand what are stop words because here you can see that stop words basically uh over here provide a list of common words what are those common words are so when I ask Chad gbt that what are stop words so you can see as an output over here is in the above code stop word refer to a set of commonly used word in language that often carry little or no meaningful information when it comes to natural language processing task like text summarization what we are doing these words are like the is between and two kind of English words which has no meaning in terms of if you want somebody of a particular text because generally in text summarization the meaning of text summarization in itself is to summarize the whole text and to get the meaningful information out of the complete text so in the code stop word module which is the uh part of analytical Library basically a set of stopword specific to the English language and stop word. word English over here you can see that a function it return a set of English stop word which is actually which has no meaning or which has no importance in terms of summarization by removing this stop word from the text you can see that before text summarization we have to remove it and we can focus on the most important part of the text now the next is the line of code filter word over there which we going to see the meaning of the fil filter word is over here is to get the words which will get filtered out through after removing the stop wordss so when I will go back to the code as you can see here that chat GPT is giving you the explanation of stop word after that here you can see that next one is freak disc we'll come to that uh fre filtered word but before that let me explain you the next next module which we're going to use over here is frig disc which is frequency distribution we already discussed that but we're going to understand this in more detailed way so why it is used it is used to calculate the frequency distribution of words next is we are going we are going to use hip Q which is basically what used to select the top ranked sentences based on their scores so we have already imported all the libraries Next Step was what now the next step is we're going to define the text which will going to be summarized so we have already discussed about the text as well the text variable is store the input text that we want to summarize fourth step is tokenize the text into sentences and uh which will obviously convert which will tokenize all the text into sentence and it will break the text into individual sentences because we had actually in the starting the combined paragraph we're going to tokenize that paragraph into um separate sentences and then we're going to store them in the sentences list after that once we'll get all the sentence separately we're going to break those sentences into word how we're going to do that by using word underscore tokenized function so here we are applying that only we're going to implement that word underscore tokenized function on uh uh on the previous code basically on the sentences and we'll tokenize that sentence into word after doing that you can see parall we are converting those word into lower case by using lower function so lower function is basically used to convert all the capital words with capital initial everything into lower case now the resulting word where will get stored in word list as we were storing the sentences in the sentences list here we are storing the word tokenized word into word list after that now once we'll get all the tokenized word what we going to do the next step would be removing stop word we have already discussed what our stop word is and next step in that same code we are seeing over here is filtered word so filtered word we were discussing that I told you we're going to discuss more about it so here filtered word are what after removing after getting the stop word we'll get the complete set of stop word and then we will going to remove that and once we'll remove all the stop word from the text from the uh the list of word what we have at the end the remaining word which which will get as an output we'll term as over here we are giving the name for those words as a filtered words so next step would be calculating the frequency of each word I've already discussed this but I'm explaining now step by step just to get the more clarity on it so next step calculate the frequency of each word by using uh I discussed and I told you earlier that freak disc is a function which is used to get the frequency of each word based on that we're going to understand we're going to decide like which word we're going to use as a summary we're going to include in a summary now the rank the sentence based on word frequencies higher the frequency we'll get the higher chance to the part of the summary so here test score dictionary is initialized to store the score of each sentence we are creating a dictionary over here the curly bracket basically over here curly BR is basically what it is actually the dictionary only and here we will going to append all the score of each sentence now for each sentence in the sentences list the words are tokenized and convert into lower case so we are doing the same here and then after if a word is present in word frequency so if it is present in the dictionary then its frequency is added to the score of the corresponding sentence in senten score then after we will going to set the desired summary length how many sentences you want in a summary so summary length is equal to three we are giving it's up to you as I said earlier as well and at last we will get the final summary based on the length what we are deciding over here so now uh here you can see that we are going to implement those code step by step earlier we have seen the output we were getting the output but uh we have applied the whole code at once now we're going to apply step by step so you will get like at the end of each step what output you are getting so we have applied all the we have implemented all the libraries we have uh given the text which will going to summarize and when you see that that we are converting this complete this complete text into sentences when I run this code I'm getting all the sentences like the complete paragraph into the form of sentences then after the next step would be to break the sentences into words so when I will run this code this code will break those sentences into word so we are getting all the sentences now in the form of words basically we are tokenizing the sentence into words once we get all the words tokenized word we're going to apply the stop word function which is used to remove the stop word from this given uh tokenized word and at the end we will get the filtered words so when I will run this code you can see that here we are getting only the usable word meaningful words except those the is between of kind of stop words that has been removed from here we only have the filtered word with us we only have the meaningful word with us which is actually required for our summary next is we're going to calculate now the frequency so when I will run this code I will get the sentence score so here you can see that the first sentence is this one so when you will see what is the score of this sentence is 1 18 118 when I will check the other one the other one has 87 same the next sentence has the frequency 73 the other fourth fourth one has which how much 70 so here we are getting the score of the sentence we are getting the frequency of the sentence now we have the frequency based on these ranks we'll get the final summary and how we'll get the final summary first we have to decide how many number of sentences you want in your desired summary so here I have given three and then after we'll going to understand what we're going to select the top ranked sentences based on the frequency as I already shown you and we're going to print those uh top ranked sentences as a summary over here so when I will run this code I'm getting the top ranked sentences in the form of summary and here joint function I'm using because obviously three sentences if I'm getting I don't want in the form of sentences way I want that in the form of paragraph so I'm going to join that three sentences top rank sentences and that will get joined and we'll show you in the form of a summary in the form of paragraph so here you can see the first sentence then the second sentence is this one and the third one is the quarterly profit so these three senten are the top rank sentences which I have you which I have join using join function so that's how you can do the text summarization using chat GPT and it's very easy to understand suppose if you stuck somewhere in some code you can simply just copy that code as a prompt and ask chat GPT the complete detailed explanation of that and you will get a proper and exact explanation So based on that while understanding the theory you are implementing that theory in a practical way as well so which is actually time saving for you as well so let's end this part and we'll discuss the summary what we have learned till now hello Learners today we're going to understand about data analysis but not through a normal usual process we're going to understand like how to use chat GPT to analyze a data so let's get it started first our agenda would be introduction to data analysis then difference between CH GPT 3.5 and GPT 4 applying python codes to analyze a data set and then applying Excel commands to analyze a data set on which we're going to analyze the whole data now we'll start understanding the introduction to data analysis what is data analysis is so data analysis is a method of inspecting cleaning transforming and modeling data to discover useful information conclusion and support DEC making there are various steps that comes under data analysis process such as first is data collection second is data cleaning and pre-processing third one would be explor data analysis then Thea transformation and then model building after that evaluation and then at last interpretation so next we're going to understand difference between GPT 3.5 and GPT 4 now why I'm discussing about difference between both uh version because we're going to to apply the data analysis process we're going to understand data analysis process using GPT 4 which is the latest version of chat GPT and before we start working on that we should understand why we are not working on 3.5 that is a older version of chat GPT so there are few differences between 3.5 chat GPT 3.5 and 4 first difference is that chat GPT 4 is multimodel and has more process processing power compared to chat GPT 3.5 now what it is so the major limitation of chat GPT 3.5 was that it was uni model now what is uni model is in the sense of chb only understand and interpret text input in chat GPT 4 you'll be able to apply more advanced features such as you can upload the images you can upload the whole data set and uh you can can basically upload images there so not even text but you can apply more advanced features using chat GPT 4 so which we cannot do in 3.5 second one is Chad GPT is more accurate than chat GPT 3.5 so in terms of accuracy also that CH GPT 4 version uh working more correctly than 3.5 j4 can solve various problems uh and equations uh in subject as vared as calculus geometry and algebra CH GPT 3.5 on the other hand can only give us the direction like how to solve the problem and rather than providing the actual solution there so that's why we follow nowadays J gp4 which work better than CH GPT 3.5 so here you can see two options GPT 3.5 and GPT 4 so basically GPT 3.5 here if you want to upload a data set it's not possible because we do not have the upload file option you can ask J GPT if you have any uh question if you want to analyze a data you can ask it by using text only but in gp4 you are getting an option to upload file so here first we're going to upload the data set on which we're going to perform data and then based on that we'll ask chat gp4 using some prompts so let's get a started so after uploading the data set we're going to understand how to load the data what is the process of data analysis as we discussed earlier that there are various steps that should cover under data analysis we'll understand those step step by step first and then we'll move to the uh final analysis of the data set basically that is car mpg over here so for that first will ask tgpt that what are the steps that should be covered in data analysis by using a prompt so when I enter the prompt over here that is what are the various steps to analyze the data you can see that the chat gbt 4 will show you all the steps that should be covered during the analysis process so first is understanding the problem statement then after data loading then after explor data analysis that is data exploration and understanding that has subtopics as well which will discuss and then after data cleaning feature engineering and data visualization so these all are the steps that should come under data analysis process let's understand the first step understanding the problem statement so understanding the problem statement is what basically you have to understand what you will achieve from the analysis so first you have to understand the data like how many columns do you have in the data how many rows do you have in your data your data is all about what second is data loading so load the data into suitable structure to begin the analysis then after data exploration and understanding that covers summary that cover missing values that cover duplicacy as well like some if duplicate values are there that we have to remove then univariate analysis by variate analysis now what all are these basically first is data summary that in this we'll get a summary of the data to understand it structure type and basic statistic so basically it's about to understand the whole structure of data set on which we're going to analyze so it covers basically how many rows to you have in the data set how many columns do you have in the data set and uh the mean of the uh columns and the median of the column the standard deviation because these all are very important factors that should be covered during analysis second step is missing values so basically this missing value basically what is about to check if there any missing values are present in the data if missing values are there you will not get the Clarity at the end of prediction at the end of modeling the data after modeling the data you will not get the exact output you will not get the exact prediction so missing value should not be there if missing values are there for that we will follow another process that we'll discuss later after that comes univariate analysis but before that I want to add one more point over here which we are not getting in this but that should be what duplicacy so if suppose in a column we have duplicate data same data but that should not be duplicate okay that should be SE different so in that case we have to impute that duplicate rows as well so that also we will check and then after we come to univariate analysis analyzing single variable basically analyzing each column each variable that comes under univariate for that we have lot of charts through which we can analyze and then after by variate analysis using different different plots we can analyze the bivariate analysis which is basically what analyzing the relationship between two variable so if you are analyzing a single variable for an example uh a single column okay like name if you want to analyze the name of the cars okay different different cars we have suppose in the car mpg data set if you want to analyze how many cards we have and suppose if you want to understand that uh miles per gallon like that particular column what we will going to see after this so single variable if you want to analyze that will come under uni variable if you want to compare between two variable if you want to check the relationship between two variable in that case we'll follow the B variant analysis for that also we have various plots through which we can perform this analysis next step is data cleaning so basically data cleaning is what data cleaning same if you have some missing value if you have some duplicate values so we have to clean the data because once you will clean the data then only you will be able to get the correct prediction then only you will be able to model the data and you can model the data but the thing is you will not be able to get the correct prediction based on that modeling of data so here before the data modeling we have to clean the data properly so here first step comes handling missing values imputing or removing missing value either you can remove or you can impute with average value mode or median so basically here it depends on the data the values if they are very important if we cannot remove those values then there we have to impute with some other values and if it is okay to remove those missing values then we can remove and it depends on the data set what we are using there and the values are very important so we will keep that and we'll impute those missing values with some other statistical value basically next is outlier treatment identifying and treating outliers if necessary so basically what is outlier over here the value which is completely different if we compare with other rest of values so uh here if some outliers are there so that also we have to treat so the next point in data cleaning is data transformation so data transformation is what conver converting data into required format now what is this basically here data transformation when we required this for an example if you have a column with the name name the name should be in the form of string data type correct but if the data type of that particular column is an integer so basically the data type of that column is integer obviously we should change that to string so if the data is not into the required format so there we have to transform that data so these three steps actually comes under data cleaning process after that we'll do feature engineering creating new features that might help in analysis of modeling that will understand properly when we perform these steps then after comes data visualization so in that we visualize the data using various charts as I said earlier univariate analysis bivariate analysis so that actually these analysis we generally perform through visualization by Vis visualizing different different various plot and here visualization distribution using histogram bar chart we can do and visualization relationship that we can do using scatter plot correlation matrices so here univariate analysis we can perform through histogram bar chart and if you want to understand the relationship between two variables basically that we call uh bate analysis so that you can do that you can perform using scatter plot using heat map also using correlation metrices now the next step comes statistical analysis performing a statistical test to relationship significance Etc model building is the next step there we will build predictive model using machine learning or statistical methods so basically it depends on the data like which type of data you are using So based on that we'll perform we'll use relevant uh model so next is interpretation after modeling the data we'll get the predictions we'll get the final output and based on that we're going to interpret basically the conclusion what is the end result of the whole process what we have performed then after report and communicate findings basically presenting the finding in a clear and understandable manner to stakeholder basically is uh like to whom you going to report that whole analysis so to them it should be very clear because you know the data analysis might be possible that person to whom you are going to show that complete picture you might not understand the process what you have followed so you have to present in a very clear and in a very precise manner basically the outcome so these are all are the process which comes under data analysis and we will follow this process and step by step we'll understand how to perform this so now the next step is as we have already discussed about uh the process like how to perform data analysis all the steps we have understood we'll perform those steps uh one by one and the first under that process is how to load the data set and we'll understand about the whole data what we will going to analyze before we do that first we click on upload file and then we'll upload the data set so here our data set is car mpg we don't know as of now what is basically this car MPGs and what is all about after uploading the data set we're going to understand by using the prompt we're going to ask chat jpt a few prompts based on that we'll get an output so first prompt we're going to uh enter over here is so as you can see here we have uploaded the data set now we'll understand about this data first so before that uh we'll going to enter a prompt here we are giving a prompt The Prompt is basically what we want to know through chat GPT what we want to understand through CH GPT here we are asking that load the car mpg data set which we have uploaded and display the first 10 rows what information is contained in this data set so let's enter this and let's see what output we'll get over here so you can see that we are getting the python code also here and uh you can see here that using this head function we are getting the output and parall we are getting the information of all the variables which we have in the required data set that is car mpg so first is what we have asked we have asked to load the data set so chat jpt first will load the data set and we were asking over here that display the first end rows so by using this head function the output will be here will show you the 10 starting rows of the data so we are getting the starting 10 rows simultaneously we'll apply this code in Jupiter also that whether we'll get the correct output in jupyter Notebook b or not so that also we will check but as of now first we'll discuss what we are getting as an output over here so now as we can see we are getting starting 10 rows now we're going to understand the whole data set so this complete car mpg data set is having uh 10 columns 10 variables basically first is MPG miles per gallon that is fuel efficiency then after cylinder that is c y l number of cylinders in the engine then after this that is engine displacement which is in cubic inches then HP that is horsepower then WT that is weight of the car which is in pounds after that ACC that is acceleration second required to reach 60 MPH next is yr that is model ear as a two-digit number example 70 to 1970 basically 1970 over here it would be 70 so next is origin that is origin it might represent different region or countries then after car type that is type of car for which we are doing this analysis so type of car example zero might represent one category and one might represent another car name the last variable that is name of the car which basically include uh make and model now this data set could be used for various analysis such as understanding the relationship between fuel efficiency and other attributes or classify car based on their characteristics here what we will going to understand we're going to understand the relationship between fuel efficiency and other attributes okay so let's um try this code in Jupiter as well let's see that whether we are getting the output there or not so when we copy this code you can copy directly from here as well when you click over here it will get copied and then you can paste this code in jupyter Notebook so you can see I have already pasted the code I have uploaded the data set over here I've given the data set name which should be in CSV format over here because we are using the command rore CSV so if you are uploading the data set uh which is with the extension of CSV then there you have to use this command that is pd. rore CSV and then you can see that we are getting all these uh column names over here now the next is over here you can see that we want to check the starting first rowes so what code for that so basically here we have this code the car _ data. head so when I paste over here that code let's see what outcome we'll get over here so here we are getting what first is uh this one that whatever the code we have at last computer will display that only so here the last Cod is do head function we are uh giving and based on that we are getting starting 10 rows because head function is basically G starting 10 rows if you want to see more rows just enter the value inside the bracket so if I want to check uh let's say 20 rows so if I enter this here I'm getting 0 to 19 that means 20 rows data so head function is basically what to display the number of rows based on the value what what you are giving inside the parenthesis now next is what so next is to display the data type of all the variables from the above data set because we want to know the type of the data which we are using in the data set so for that we'll ask chat jpt by using this prompt you can enter you can give any prompt as per your ease so as if now I am giving over here that display the data type of all the variables from the above data set so when we enter this prompt we'll get some output so let's see what we are getting over here as an output I'm getting the code Al also which is in Python carore MPG data which is the data frame name and do D type D types is the um function basically uh used to understand or used to get the output Based on data type so you can see here we are getting the result that first variable is of float another is of integer another one is again float one is of object that is HP that is House part then after weight is of integer data type and so on so here you are getting a complete explanation also and the data type of the variable in the car M data set are as follows so here we are getting all these complete explanation what next Chad GPT is showing here is it's worth nothing that HP column is of type object which might indicate some irregularities in the data such as missing value or non-numeric entries if you need to perform numerical analysis on this column we have to clean and convert it to the numeric data type now why we are getting this because if you want to perform analysis and if the analysis is numeric based so in that case we have to convert that and if you are converting a variable into some other data type before that you have to check whether we have missing values or not so for that we will going to um apply some other code there and let's see what output we'll get at that stage as of now we are skipping this part because any which ways we're going to check whether we have missing values or not and during that process we'll check this column as well to understand whether how to impute the missing values and not so yeah here we are checking all the column and simultaneously we are checking the type of the data so this is uh the final output if I apply this code in Jupiter notebook let's see whether we are getting a correct output or not so already we have over here this code I'll paste it over here when I will run this code so after applying this code I we can see that we are getting the output and here what we are getting as an output we are getting all the type of the datas uh based on the code which we have given here so MPG is float data type cylinder is of integer data type same HP is of object data type and uh so on so yeah this is correct and as of now whatever we are getting code through chat jpt showing the correct output now let's understand the next step so now the next step is if you want to check is there any duplicate rows so that is also a very important uh step during analysis duplicacy should not be there missing value should not be there so as a prompt I'm giving here display the duplicate rows from the above data set using python why we are specifically mentioned over here python because we want python code as of now you we so that's why we are specifically mentioned here using python when I enter this code I'm getting some output let's see what output we are getting okay so as a code what we are getting over here that finding basically here first we have to create a variable obviously so the name of the variable in which the output will get stored is duplicate underscore rul and we are getting the code over here that from the data car mpg data get the duplicate values so for that we are using here duplicated function you can see one parenthesis over here so if a parenthesis is there that means that is a function so with duplicated we have a parenthesis that means duplicated is a function which we are applying on the data and that basically take out all the duplicate values we show you complete duplicate values whatever we have whatever duplicate values are present in the data set so so uh when it will get stored to duplicate uncore row then we will call that variable and we'll get the output as an output here what we are getting that uh empty data frame columns are these many columns whatever we have already in the data set and as an interpretation as a final result what CH GP is showing here that the Carm data set doesn't contain any duplicate rows all the entries in the data set are unique then there is no duplicacy so we can go ahead with this data set as of now if you have any specific question so you can ask so now I really want to check whether we are getting the same output when I apply the same code in the Jupiter so when I copy this code I'll paste over here let's see what output we'll get so there is nothing basically we do not have any duplicate rules okay let's go ahead with other step and we'll apply one more prompt here now the next prompt I'll give over here is display the categorical and continuous variable in the data set using python why because I want to know that how many categorical variables do we have here how many continuous variables do we have here when I enter this prompt let's see what output we are getting okay so as we have asked over here that displ the categorical and continuous variable in the data set using python we are not asking what is categorical and continuous but still we are getting output uh based on the explanation that gbt is giving over here is that categorical variable are those that can take on one of limited set of values representing categories or labels while continuers can take on an infinite set of values within a range based on the data type and the nature of the variable we can identify categorical and continuous variable so categorical variables are basically what variable that are typically integer or object type and represent discrete categories and continuous is basically what which are typically float type and represent continuous measurement so now here you can see the code based on the prompt what we have entered so categorical variable CH GPT has created in which we are storing the output and output based on what that select data type include object in so we are asking if the values are of object and integer store that column names in this variable that is categorical variable if the variables are of float data type then you store those column names in the form of list because here you can see that we are uh giving a code that to list so basically the columns will convert to list and that will get stored where in continuous variable variable basically okay so now here removing the column that are known to be continuous but are represented as integer that is ear so categorical variable do remove ear from the list now when we display uh when we ask categorical variable and continuous variable what we'll get as an output this is the output So based on the data type and context categorical variables are these many are the categorical variables and these three are continuous variable because based on continuous and categorical we'll perform the data analysis let's apply this code once and let's see what output we are getting in jupyter Notebook okay so first is categorical so first list is based on categorical variable the another one we are asking here continuous variable so the another list is what of continuous variable so we are getting a correct output over here let's understand the next part of data analysis whether do we have missing values in the data set or not or if we have then how to impute that missing values because if we have missing values that will impact the final outcome so if you have missing values in your data set so you have to impute those missing values with some uh other values like how that we'll understand after this okay so the next one is plot the distribution of the origin variable how does the origin affect the other feature in the data set let's understand this also when I enter this uh prompt we are getting an output the origin variable in the data set is likely a categorical variable representing different region or countries of origin of for the cards we can visualizes distribution using a bar plot to show the frequency of each category once we have have an understanding of the distribution we can further explore how the origin affects other features in the data set like why we are using this feature overall uh in the data set and how it is affecting so this is the bar chart and showing the distribution of car origin so 1 2 3 as we have three values uh in the origin variable and first is one other is two and three and the frequency here we are getting as on Y axis the bar prod above shows the distribution of the origin variable in the car mg data set and it appears that the three values are there and with the name one followed by origin 3 and origin 2 so origin one has higher frequency then origin 3 and then after origin 2 let's explore how the origin affects other feature in the data set by summarizing some key statistic for numerical variables and uh how we'll understand that there is complete explanation we'll come back to this code also so now here you can see we have applied mean function and we actually want to know how this variable is impacting okay what is the importance on other variables so MPG origin 3 has highest value fuel uh per efficiency so miles per gallon so origin three has the highest mean value followed by origin two and origin one so highest will be origin three we suggest that the cars which are from the origin three are generally more fuel efficient if the cars are from origin 2 so they are comparatively with origin 3 less efficient and the origin one has the least value so the cars which are um from the origin 1 comparatively with origin 3 and two has less fuel efficient cars okay so next is cylinder displacement and horsepower so cars from origin one have high range value and uh other one is car from origin 2 and three have a smaller Engine with few cylinders and lower H bar that's how this origin is um important for understanding the other features uh based on different different origin we have different different values of each column and that we are getting through this summary so how we are getting this summary by using this code when we apply this code uh Group by origin do mean function mean function will give the mean value of origin and column wise the other column wise here you can see MPG of origin 1 is 20 cylinder is 6.2 so the highest value of miles per gallon is for origin three then after 2 and then after one we have already discussed what does it mean let's copy this code from here and apply and just check that whether we are getting the output yes we are getting the correct output what we were getting through chat GPT and uh that's how we can understand what that the distribution of the origin variable and how this variable affect the other features in the data set and the importance of this variable so now we're going to understand whether do we have missing values in the data set or not not so for that first we'll ask CH GPT by using this prompt that identify and handle any missing values in the car mpg data and how did you choose to handle them and why let's see what output we'll get over here so we are getting an output I want to know what code CH GPT will display over here for that if we have missing values okay so now let's understand this part first to handle missing values we first need to identify whether they are in the data set or not once we have found them we can decide on an appropriate method to handle them based on the context of the data if we can remove those missing values and it will not impact the whole data set like because of removing the values from the data if it is not impacting the main data set then we can remove but if we remove the missing values uh related roles and if it impact the data set then there we have to use some process that is called imputing the missing values and that can be done by using um some relevant code but here first is what common strategies we have for uh this type of issues is removing rows that I already discussed that deleting rows with missing values if they are few in number and if they are not impacting like if we remove the values and they are not impacting the main data set then we can remove filling with mean and median so fing missing values with the mean or median value of the column suitable for continuous variable next is filling with mode filling missing values with the mode most frequent value of the column suitable for categorical variable using interpolation interpolating values based on surrounding data suitable for time series or order data so basically here U what we do if missing values are there and if we do not want to remove those rows which contain the missing values so we'll impute those missing values with mean median or mode value uh and uh then we can proceed further here let's understand whether do we have uh the missing value values in our data set or not so for that we have a code over here missing values summary equal to car mpg data. isnull isnull is the main function to check whether do we have any missing values or not suppose if we have five missing values in one column so that will get sum up by using sum function and the final total number of values for a particular column will get display as an output that will store in in this variable which we have created over here and when we call this variable we'll get the final output so this is the main code based on that what J GPT is showing over here as a result is zero means we do not have any missing values in the columns it appears that there are no missing values in the car mpg data set as indicated by the summable however we previously noticed that horse part that is HP column has an object dat data type which might indicate some irregularities in the data such as non-numeric entries so let's investigate this column to see if there are any unusual values that need to be handled so we have already discussed about this column that that column is of object data type this column also we have to check that whether uh this column has a missing value or not if this column has a missing value so we have to work on it so the code related with this is this one same and um if in the object data type any missing values is there so we'll impute those values so here as an output we are getting a question mark is there in the column that means that particular row doesn't have any value uh those rows have only question mark instead of any appropriate value it seems that HP column contains some question mark that character which likely represent missing or unknown values these values are not recognized as null or na n so we need to handle them given that here what we are getting is In output that HP is a numerical variable representing horsep power obviously hor power basically should be a numerical value but a common approach is to replace them unknown values with the median value of the column so let's proceed with replacing the character with HP column with the median value of the known horse part values so how to convert see first is this column is of object data type but in general we know that house power should be of numerical because the values are in numbers and if we have any column uh which showing numeric values but the data type is uh different so there we have to convert that column with the correct data type so we have already done over here with apply function okay next is this is the complete code what we are doing over here is we are imputing the missing values with the median value so when we do that then after in HP also we are getting zero because now we have filled those uh unknown uh rows or missing rows with median values of HP and because of that we are now having no missing values present in the data set the missing values in the HP column have been successfully handled and how it got handled with the median value of the known horsepower values that median mean mode how uh we get these values that we'll understand after this so now there are no missing values or unknown values in the car mpg data set now I chose to handle the missing values in this way because here CH GP is giving the reason also that why CH GPT chose to handle missing values in this way because replacing with the median preserve the central tendency of the HP distribution the median is less sensitive to outliers basically outliers are which is very different from the main values what we have in the column uh let's say HP only so if we suppose have a b c d e values in one column all of a sudden if we are giving their Z right so that is very far from The Continuous series what we have in the column right so that Z will consider as an outlier so here the median is less sensitive to outliers so it provides a more robust estimate for filling in missing values since horsepower is a continuous variable using the median is a suitable method for imputing missing values so that's how we can impute but again we're going to check whether based on this code we are getting the correct output in Jupiter notebook also so let's copy this code first I'll copy and I'll paste it here so now here we are getting the output based on this code that yeah we have missing values and that missing value basically what in rows we have some values with this type of character which is not a value which is not anything it is completely unknown value now we have to impute this so based on this type of character we not get a correct prediction so the next code for that is to impute this value so when I paste here we run this code we are checking that missing values after handling this variable contain all the column names from the data set and we'll show you whether we have any missing values left or not so here we are getting all the names of the column and parallely we are getting over here the number of values if missing values are there so no there is no missing value because we are getting as an output zero this is the output what we were getting in the CH GPT also so that's how we can impute the missing values if we have any values which is unknown in the data set and how to impute that that we have already discussed we'll now move ahead with another step so let's understand the new step for data analysis so now we have covered till now unival analysis bi analysis we have seen that summary statistics and we have checked that what data set is all about everything we have discussed till now now we're going to apply a model on the data set to predict the fuel efficiency so here I'm using a prompt using the car ampure data build a regression model to predict fuel efficiency what feature did you include and how well does the model perform when I enter this prompt as I'm going to building a model on my data set to predi the fuel efficiency so building a regression model to predict fuel efficiency involves selecting features so before we uh discuss the regression model over here we'll ask chity that why we are using here regression model okay when I enter this I'll get some output let's discuss that also regression model are used to understand and quantify the relationship between dependent and one or more independent variables so one would be Target variable on which we're going to do the prediction so here which one is the target variable which one is the independent variable that also we'll discuss now we are using here regression model because of some reasons first is nature of the dependent variable that is MPG MPG is the target variable we going to predict the fuel efficiency over here so that is the target variable the target variable MPG is a continuous numerical variable regression model are designed to predict continuous outcome making them a suitable choice of this problem now exploration of relationship that regression model allow us to explore the relationship between Target and features quantify how changes in features like weight horsepower cylinder affect fuel efficiency so this is the best model to predict uh the final outcome based on the target variable so these all are the reasons in summary basically why we are using agression is for the car mpg data set that with uh the nature of the problem the characteristic of the data and the goal of the analysis or prediction it provide a statistical framework for understanding how various features of car influences the fuel efficiency offering both exper insight and predictive capability so in short we can say that as the variable is continuous variable so in this case we should use the regression model that is the best model model through which we will get the correct prediction based on our data set now we're going back and understand the output which we are getting through this prompt using the car mpg data build a regression model building a regression model here you can see that how many features we have selected we'll consider the following feature and uh these all are the independent variables and one would be the Target that is MPG over here this feature include various aspects okay and uh which influence actually the fuel efficiency that means the target variable these all are the independent variables and they actually somewhere or somehow they are influencing the main target variable that's why they all are comes under independent and the target variable would be then MPG data pre-processing after that we're going to split the data into features and Target means one would be X and and the other Target would be y we're going to split that Target variable from the independent variables and then further divided into training and testing set then we're going to build the model so we'll use a linear regression model a common choice for predicting a continuous outcome variable as we have already discussed this let's start how we're going to do that there is a code for that there are required libraries which you have to import first then only you'll be able to split the data into training and testing and you will be able to modeling the data set so this are complete code for that and based on that we are getting this result now the thing is we'll discuss this code step by step we have imported all the required libraries as we are using linear regression model so we have to import linear regression model from this SK learn. linear model library then after train and test split why we are importing this because we're going to split the data into Target and the independent variable then after from escalar Matrix we're going to import mean squar error and R2 Square because we'll check the accuracy of the uh model so here we have splitted the data set into X and Y X will contain all the independent variable and Y will contain the target variable and then we'll split these data and after that we're going to create and training the linear regression model so we will apply this linear degression function we'll store that in the model variable and on this model variable we're going to fit the XTR and ytr Y TR has the target variable value and X TR will have the independent variable values here the vibd variable consist the testing set on which we're going to predict so this is all about how to apply the code what to do uh to get the final prediction and at last we're going to calculate the performance Matrix that how this model performed and that we can understand by using MSC and r² values and we are getting the final output let's discuss one by one uh the final result mean squared error is 7.25 and R square is 0.865 2 so what is the interpretation based on this model the mean square eror is what represent the average square difference between the actual and the predicted variable the trend data set X train and Y train has actual values and predicted values what based on test so a lower MSC indicate a better result better fit of the data and MSU 7.25 means that on average the model predictions are off by the square root of this value and approximately 2.69 MPG R squ over here is what is a measure of how well the model prediction match the actual data means what actual data we have if it is getting matched with the prediction how well it is getting match so is based on while we check the R squ value here the value is 8652 that is 86.5% so that approximately is what the variation in MPG explained by the selected feature so this is R squ this is MSC we have already discussed conclusion is what the model shows a relatively good fit to the data if you are getting higher value of R 86% that means your model performed well and um feature includes what cylinder displacement and these all are the features based on that we were predicting the target we already know that is MPG the model could be further improved and validated through techniques such as cross validation and all if you want to improve your model more as of now by seeing these values R is squ the performance Matrix we can uh come to the conclusion that the model shows a relatively good fit to the data explaining a significant portion of the variation in fuel efficiency so this is all about the modeling of data and uh we have discussed this part but through G GPT we were discussing let's apply this code in jupyter Notebook and let's see that the output what we are getting here is same in jupter notebook also so when I enter this I'm getting the same output and this is the final output here also you can compare right so this is all about uh the data analysis of the car mpg data set one more prompt I'm going to enter here you can see analyze the feature importance in the degression model what features have the most influence on fuel efficiency and why so based on the interpretation if you want to know that which feature is uh having uh the importance and uh which actually somewhere influencing the fuel efficiency which one is has the highest uh value based on that uh influence so we're going to check this by using this prom that analyze the importance of features and how we're going to do that feature importance basically we generally uh check just to understand the prediction what we are getting there which particular feature or which features having more impact on the target variable so here if you can see the code feature importance pd. data frame we are giving feature and coefficient values one column would be of feature and another would be of coefficient these coefficient by seeing this value we can understand okay this feature has the highest impact and this feature is actually influen ing our Target variable more so out of all these we can see that the table above shows the coefficient of each feature in linear regression model reflecting their influence on fuel efficiency that is MPG column so car type is the most influential feature over here with a positive coefficient 5.82 which indicate that the car with the higher uh value are associated with high fuel efficiency so this value is somewhere influencing this MPG variable more then after comes 1.49 uh coefficient that is of cylinder and then origin and the least is weight a small negative influence indicating that heavy car tends to have slightly low fuel efficiency so this has the negative influence so why we want to check the importance of features because we should understand that which feature has high impact on the target VAR and the conclusion over here is the feature car type cylinder origin and ear seem to have the most significant influence on the fuel efficiency and based on that we can work and the interpretation of this coefficient should be done with caution as the nature of the variable potential multicity another Factor can affect the coefficient so this is the final analysis that features in our data set how they are impacting the main target variable and this is the way we can analyze the data and the last step we're going to perform now we're going to apply this code also in Jupiter to check whether we are getting the correct output or not when I enter this the output what we are getting here in chat GPT we are getting here also so that's how you can analyze your data uh whatever you want to analyze you can easily do that by using chat GPT it's so easy to understand because you are getting the codee also and you can see that I was parall applying the same code in Jupiter and I was getting the correct output there also so uh it's very easy to understand and with that it's very um easy to get the complete explanation also here if suppose somewhere if you stuck that what is the meaning of particular function or a particular code that also you can easily understand using chgb so it actually make your data analysis process easy and very understandable so that's how we can analyze the data using chat GPT parall you can apply this code what you getting through jgpt in other notebook like collab or Jupiter just to check whether you are getting the correct output or not and uh one thing I can add over here is we have we should play around with chat GPT like uh we can explore more also here these all are the steps of data analysis is uh using Python and uh if you want to know more concept based on the output what we are getting that also you can explore by asking or by applying or by adding prompts in the chat gbt that makes your data analysis Journey more easy so yeah this is all about how to analyze the data using python code to check GPT thank you so now as we were continuously discussing about uh missing values how to missing values with median we have to impute or we should impute with mode or mean what is all about like mean median mode what is uh these values are so we'll understand this by using this prompt we'll get to know so the prompt which I'm going to enter over here is display the python code for summary statistic for the numerical variables in the car mpg data set in a tab format what Insight can you gain from this statistic so let's see what is sumbody statistic is here as we are getting the output so we can use describe method in bandas to obtain summary statistic for the numerical variable in the car mpg data set this method will provide us with the count mean standard deviation minimum 25th quartile median 75th quartile that is Q3 and maximum for each numerical variable I know know it's bit confusing for you but uh we'll understand these all terms step by step here we are getting the code to get the summary statistic but we do not know what is basically summary statistic is so that we ask first to the chat GPT and then we'll come back to this part we are getting the complete output based on the prompt which we entered over there but let's understand first what is sum statistic is so we'll ask J GPT that explain summary statistic so now first we'll understand all the terms what I was uh saying here that mean median mode standard deviation and all summary statistic we'll understand this part and then we'll go back to that code so here summary statistic provide a concise description of the main aspect of the data set particularly for numerical variables obviously because if you want to check the mean of the column it should be a numeric value then only you will get the mean median or mode so this help in understanding the distribution Central tenden and dispostion of the data such a heavy term so we'll understand this first what is central tendency what is dispersion of the data what next we are getting away let's see that also first so the commonly used summary statistics are count which will count what the total number of nonnull observation in the data set it helps in understanding the size of the data set and identifying any missing values mean the arithmetic average median is the middle value that is specify the higher half from the lower half of the data set now the next is a standard deviation a measure of the dispersion or spread of the values a high standard deviation indicate greater variability while a low standard deviation indicates that the value are closer to the mean minimum the smallest value in the data set maximum the largest value of the data set data set basically we'll show you like for each column now the percentile this percentile will divide into three parts 25th 50 and 75 50 is basically what this one the 25th percentile that is q1 is the value below which 25% of the observations fall and 75th percentile that is Q2 in which the value below which Cent 25% of the observation fall and in between we uh check the median value that is 50% so now the range is the next one the difference between the maximum and the minimum value that is called an idea of the spread of the data like how the data is spread next is inter quartal range that is IQR it is also a difference so what is this basically the difference between 75th and 205 percentile value representing the range within which the middle that is 50% of the value Falls it is a robust measure of spread that is nonaffected by outliers next is mode the value that appears most frequently in the data set this mode median we have already studied in mathematics same meaning is over here also next is variance variance is the average of the square difference from the mean it's another measure of dispersion with the high high value indicate greater variability variance means what that also you can ask if you're still confused so you can simply just ask explain in detail so we give over here as a prompt that explain various in detail when I enter this here I'll get what Valance is a statistical measure that describe the spread of a set of data points within the data set that it quantify how far individual number in the data set are from the average and thus provide insight into the overall variability of the data so how we calculate that is another thing but uh here basically we'll get all these values in the summary statistic so now let's go back to the code and here we are getting the output we are getting the output for each column we are getting count we getting mean count is basically the sum okay uh count means total value basically here count is what let's understand this what CH GP is showing the total number okay of non null observation in the data set so now here we have count mean standard deviation mean 25% 50% 75 that is q1 and 75 is Q3 max value minimum value and so so on right so let's understand uh this particular code that whether it's giving correct output in jupyter notebook or not when I will enter this here I'm getting the complete summary this is the complete summary that is the complete statistic of our data set which is showing the minimum value minimum or maximum value mean that is average standard deviation like how the data is deviated so these are are the statistic next is why we always check this as you know that we have one column over here that is HP so when we were checking the missing values we found that this column has some missing values and we Cann not remove those uh rows because uh we'll impact the data set if we remove so what we did there we imputed uh with median right so by seeing this statistic we can come to the conclusion that like with which value we can impute those missing values so there we imputed the missing values with median we can impute with average value that is mean also or median as well now as of now we have discussed the statistical summary of the data set now let's understand the next step which comes under data analysis so this is the summary statistic now we'll check what output we are getting here in terms of explanation so First Column is MPG ranges from 9 to 46.6 MPG the average fuel efficiency is around this that is mean value standard deviation is 7.8 indicating the variability in the data set same there might be some high fuel efficient cars and the maximum value of this particular column is 46.6 same we are getting the interpretations based on the other columns that is cylinder displacement horsep weight acceleration ear so now here is origin also we have which is a very important column and we have horsepower is also an important column so we can see that we are getting fair enough uh outcome based on the prompt which we uh have given over here for chat GPT and we are getting the correct output as well because we have already checked in jupyter Notebook so let's understand the next step that comes under data analysis thank you so now we'll understand how all the variables are correlated with each other by using correlation Matrix so when I give this prompt that create a corelation matrix for the car mpg data will show you the relationship between all the variables because that also we have to understand when we increase one variable that what is the impact on other variables how they all are correlated with each other when I enter this prompt let's see what output we are getting here so here first is correlation Matrix provide a numerical summary of the linear relationship between pair of variables it contain correlation coefficient that range from minus1 to 1 minus one indicating a negative linear relationship one indicating a perfect positive basically when uh we are getting the graph in upward Direction basically that means that is positive linear relationship negative means that because of one the other values is getting decreased zero indicating that there is no relationship between the variables so when I check the code over here to get the correlation Matrix there is a function which we have to apply on the data set the function name is over here is c r that is called function which will give you the complete summary which will give you the complete summary of what of how all the variables are related with each other and you can see that we are getting over here the result and the result is that first MPG and this year these are related with 57 negative basically like yearly this value is getting decreased so let's understand this complete statistic whatever summary we are getting here uh through chbt MPG and engine characteristic so here you can see this is the complete uh relationship and uh let's understand step by step MPG and cylinder strong negative correlation which means that MPG and And the cylinder variables are negatively correlated more cylinders associate with low fuel efficiency MPG and displacement strong again negative correlation which means large value of displacement leads to lower fuel efficiency MPG and horsepower again the strong negative correlation which means high value of HP column associated with the low value of MPG that is fuel efficiency same when we compare MPG and weight is strong negative correlation heavy car tends to have low fuel efficiency means the weight of a car if it is high if it is uh more so that will tend to low fuel efficiency so the value of MPG will get decrease that is why here the correlation is strongly negative next is cylinder displacement Horse bar and weight these variables are strongly positive correlated with each other because of one variable the other variable is getting increased so more cylinders typically means large displacement will give High horsepower and greater weight acceleration and other variables negative correlation acceleration and MPG has positive correlation cars with faster acceleration tends to be more fuel efficient then after ER and MPG moderate positive correlation because here you can see the value is. 58 so these all are text based analysis right what if we want to see this uh through a chart like how to visualize this correlation Matrix through chart so let's ask the chat GPT itself like how to visualize this correlation Matrix and how we're going to ask this so now if we want to visualize this summary statistic which is coming in the form of numbers if I want to visualize using a chart I don't know which chart I should use over here to visualize the whole data so I ask CH GP itself that visualize about output of correlation Matrix using an appropriate chart let's see what outcome we'll get over here so for visualizing the correlation Matrix heat map is the best chart and uh it's the best way to visualize so here you can see that heat map is an excellent way to visualize correlation Matrix as it allow us to quickly identify the strength and the direction of the relationship whether it is negative or positive correlation and whether it correlation is there or not so that we can easily understand and stronger correlation will have more intense color with positive correlation typically shown in one color example over here is blue and negative correlation in another so let's see what output we'll get over here so this is the code to generate the heat map and this is the output based on that code so you can see that this is the final correlation Matrix uh using heat map the heat map about visualizing the correlation Matrix for the car mpg data set providing basic understanding of the relationship between all the variables and you can see that if I compare this cylinder and car type negative uh correlation if I compare cylinder variable or let's say MPG so if I compare MPG variable with cylinder again it is a negative correlation and let's see which one is the positive one so the positive one is this one origin and car type it is positively correlated and if the color code is dark that means they are highly correlated either negative or positive if the color code is uh light so they are correlated but uh not strongly correlated so here you can see that uh HP and this dis so here it is related uh how it is cor corelated 09 with9 so there is a high correlation so that's how we can understand the correlation Matrix we can visualize the correlation Matrix using heat map so this is one way to visualize correlation Matrix let's apply this code Let's uh understand this code when we um paste this in Jupiter notebook and we'll see whether we'll get an correct output or not so when I copied this code over here I'll enter and let's see whether we getting the output okay we getting an error Matrix okay so here uh it's showing an error why because we are calling here directly the variable correlation Matrix U we are giving as a variable over here based on which variable you want to display the heat map and I'm giving here correlation Matrix correlation Matrix uh computer here the notebook is not uh getting any variable uh with the name correlation Matrix so first we have to check the previous code here you can see that we have stored all that correlation um sumary that is statistic in this variable which you are not defining in the notebook so obviously we will not get an output so first I will copy this code when I'll copy and paste over here then we'll sure get an output let's see so here first by using this uh correlation function that is c r we'll store the complete statistic correlation Matrix in this variable and when we call this variable in heat map so we'll get the complete chart based on the correlation Matrix of our data set so this is the complete output what we are getting over here that means the code what CH GPT is generating is giving a correct output now the next step is to perform the univariate analysis here we have seen that how all the variables are correlated how they are related with each other is there any relationship if it is there then how the relationship is and what type of relationship negative or positive so that we have already discussed next is to understand the analysis between all the variables univariate analysis and byari Analysis we're going to understand first we'll cover the univariate analysis now the next prompt over here is what is univarate analysis first you'll understand what is basically univarate analysis like I know what is univariate but um if a learner is analyzing a data set for the first time the person should know what is unival analysis so first I'll ask chat GPT that what is unival analysis and then provide for the about data set that analysis and visualize using appropriate chart let's enter this prompt and understand the output okay so univarate analysis is basically what uni means one so is a type of statistical analysis focus on single variable so if you want to analyze all the variables that uh is comes under univariate if you want to understand the relationship between two variables together that comes under by variate by means two univariate basically if you want to understand uh or if you want to visualize a single variable so we'll use various plots for that and here you can see for this data set or for any other data set also we can conduct univariate analysis first should be on numerical variable and visualize that using histogram box plot or density plot histogram provide frequency distribution of the data how the data is distributed frequent like in terms of frequency we're going to visualize showing the shape how the data is spread and the central tendency next is box plot which will offer a visual summary of the central tendency that how the the data is spread whether it is normally distributed or it is left skewed or I so that I'll discuss and as well as the potential outlier whether do we have an outlier in the variable or not that also we can understand using box plot the density plot is is another way to perform Univar analysis so let's see here this is the complete code based on that we'll get an output univarate analysis of all the variables so here we are getting histogram we are visualizing the data we are visualizing the variables using histogram so if I will see this code you can see here that the code is showing this out the numerical variables because if you want to analyze the variable first you have to check how many numerical variables do we have in the data set we list out and uh based on that we going to use over here um for Loop and that Loop will actually um repeat this code again and again to get the final output which should be based on histogram because here what we are giving that looping through the numerical variables to create histogram box plot and density plot so basically we are going to visualize through all these FL plots this is the complete code for that let's see the output this is a histogram showing you uh the values are normally distributed or not so let's see the explanation based on this uh charts first is let's discuss about MPG miles per gallon appears to have a right isbe distribution with most cars having fuel efficiency around 15 to 25 MPG so let's go to this histogram so here you can see that it is right skewed the tail is going towards right so that's why the name is Right skewed and most of the distribution is towards right and with most cars having the fuel efficiency how much between 20 to 25 from here so from 25 so most of between 20 25 few having fuel efficiency 45 also few having 10 also but most of the fuel efficiency of the car is comes under 20 to 25 next is same for cylinder displacement let's discuss about this origin this is a categorical variable showing the distribution of cars across different origin car type binary variable showing the distribution of two different car categories now let's discuss one more variable over here to understand this histogram and write is skute okay let's discuss about horsepower so right is skew distribution indicating that most car have horsepower in the lower range so where is that Hors power variable that is HP here so you can see the tail over here it is right is skewed and uh they are here it's showing that uh that most here most uh values comes under in lower range lower range basically 52 75 and this is the lower range because here values are very less but this is right is cu so yeah this is the way to visualize the data set using histogram this visualization provide the valuable Insite into the individual characteristic of the variable such as the shape of the distribution uh whether the values are normally distributed or not so now next is we're going to visualize the data set using box blot as well as we have already visualized using histogram second will be U box plot so here why we are using box to understand whether we have any outliers in the data set or not so for that I have given the prompt that visualized about data set using box plot and based on that we are getting this output that box plot also known as box and viscal plot is an excellent way actually to visualize the distribution of numerical variable as they provide information about central tendency spread and potential outliers so you can see here this is the code relevant code and based on that we are getting getting the output so few of the variables have some outlines you can see here these uh dots right these all are what outliers values which are completely different not different but uh uh if we see that is completely outly from the main values I already explained like how uh different or from the main values like if we give in a column six values like 2 4 6 10 and the last value would be for an example 100 so that 100 comes under outliers okay so breaking that sequence right so here all values are very nearby like 2 4 6 8 but that 100 is completely um very far from that sequence of that Series so that is the part of outly here we can see that uh this HP column has outliers and uh acceleration uh this column also has outliers so let's see the final result the summary of this the mpg miles per gallon displays a right skew distribution with some potential outliers on the higher end higher end means here after 50% basically in the in the portion of 75th quartile so now the next is cylinder shows distinct categories reflecting the specific engine configuration we were discussing uh in the Box FL about HP right reveals a right is cued distribution with few outliers on the higher end so higher end lower end is what 25th quartile is lower and the 75th per that is 75% that Q3 is the higher end so in higher end we have outliers here also here we have in lower end as well so this is the Box lot through which we can understand which variables have outliers and if we have more outlier so we have to work on that as well so this is all about uh to visualize the variables using box plot and it also comes under Univar analysis so this is the box plot we have already discussed now let's apply this code of this box plot and the histogram and let's see whether we are getting the output in jupyter nput so when I copied code from here let's paste over here and run the code are we getting the output yes we are getting all the histogram based on all the variables here we already discussed and next let's apply the code to generate uh box plot so simply we have to copy the code and we have to paste in jupyter Notebook so here we are getting the complete box blot and you can see these all are the outliers outliers to the higher end here also we have outliers in this variable so this is the Box block L now we will going to understand about by variate analysis and U we're going to use a prompt to generate a byar analysis part like how to visualize the relationship between two variables using various plots we're going to understand that so till now we have understood how to analyze data using python code through chat jpt now we're going to understand data analysis using Excel command through so first we need to understand what are the various steps to perform the data analysis using Exel so when I enter this prompt over here I'm getting uh the explanation based on that means I'll get various steps that needs to be covered during analysis uh by using Exel so collect data import data so how will collect data we will collect data in the form of Excel sheet we're going to import that uh first you have to open Excel then we have to copy paste or we can directly open the file Excel file CSV format and uh we'll use that complete data set forther analysis next step is cleaning and pre-processing handle missing value if we have data formatting and formatting means format cells properly to ensure consistency remove duplicates we have already discussed this part when we were discussing using python code remove duplicates is actually very important part convert text to columns if needed so it is just if you need uh to convert the transformation if it is required there so there we have to convert the text to colum now data exploration and summarization sort and filter using sort and filter to explor specific segments of data P table to create uh P table why to summarize and aggregate data across different d Dimensions calculate descriptive statistic statistic we have already discussed like if you want to know the average median and standard deviation Etc to calculate the summary statistic there visualization using different different charts we can do that and Analysis and modeling so apply formulas and function for that we're going to do that then after analysis and modeling and interpretation and inside generation today we're going to analyze the data using Excel let's understand data analysis using Excel command step by step so these all are the steps which we have already covered when we were discussing the data analysis using python code so the first U prompt for analyzing the data using Excel command is write the Excel command for the above data set we have already uh loaded the data so write the Excel command for the above data set to check the data types because obviously if it is the starting process of data analysis we have to check the data types of the data which we're going to use for further analysis when I enter this let's see what explanation here what output we are getting so in Excel you cannot directly check the data type we have to apply um some formula to check that so we have to select the cell for which you want to check the data type so however you can use various methods which method let's discuss that use the number format drop down menu select the cell or column you want to inspect look at the number format drop down menu on the Home tab select format use Excel function and in for data types so we're going to use this formula how we're going to use we are going to understand which data type uh we uh want to check suppose if you want to check the column has uh numeric value or if the column is having text value or the column has date type of values so for that we have three functions so through that we can uh check if the value is uh numeric then uh what we get Let's see we going to apply the same function we going to apply the same formula there in Excel one more way is inspect cell format manually right click on the cell or column select format cell and look at the number type so that's how also you can do power query one more is there we're going to apply this formula let's apply this here A1 is what with the reference to the cell you want to check so I want to check whether the column has numeric value or not if it is not numeric then what output we'll get there so I'll go to that Excel sheet I'll apply here this formula so I'll change this value I want to check for which column this one let's check the till 399 we have the values here so when I select the range over here let's see you can see that from A2 that means column a row number 2 till a399 column A till 399th row so when I am applying this range I will check whether from column A to uh a399 is number or is not a number or is not a numeric value so when I enter this so it's showing here true so when I enter after giving the range in that formula I'm getting true that means the values which comes under First Column that is MPG is numeric value okay that's how you can check the data type if you want to check for other uh column you just have to select the range from where to where you want to check the data type so that's how you can check other processes are there other process means other ways are there to check the data type I want you to explore these uh steps I have applied one way you can apply other ways as well to get the data type of each column now the next prompt what will going to apply here is write the Excel command to check the missing values for the above data set so this is the next prompt and based on that we're going to understand whether do we have missing values or not so when I enter this prompt I will get the required formula and uh based on that we can check whether do we have missing values in our columns if we have missing value then we'll impute those values or we can remove based on the data set so here we have a lot of uh ways so first is we can check by using is blank function next is conditional formatting Third Way is using filter to identify Blank cell but sometime the cell will not remain blank some values would be there but uh they could be like unknown or some missing value like question mark right so that is not a blank cell value is there so this process will not be so helpful to find out the missing value using a p table to summarize missing values using the IF function with is blank for custom messages so let's apply the first one okay so this formula when I apply let's select this from here let's go to that Excel sheet apply here this formula so as I have applied over here uh the formula is blank and uh I'm selecting some rows from the First Column A3 to a25 I'm selecting as of now you can see that A3 to a25 when I enter I'm getting false so basically false is showing over here that we do not have any blank cell over here right what if we have missing value in terms of question mark that question mark will comes under what um the unknown value okay which is uh not giving any Worth to the required column so that also comes under missing value so there we uh cannot get the exact output through this particular formula so what we can do in that case what I will do here we can apply one more way to do that is conditional formatting one more is using filter so that filter uh we can apply in the the Excel sheet for each column suppose if I want to check in this column okay I want to apply the filter where I will go I'll go to this data here I'm getting this filter option I'll apply filter because as I've selected one column over here so on that I'm getting this filter option whenever will click on this Arrow I'm getting all the unique values okay here you can see one value is question mark right so this value is completely unknown to us right all values are numeric except this question mark and question mark is uh comes under missing value only so what we can do we will filter out this value like how many rows do we have in our data set with this type of character so I will select what first I'll dis select all the values and I'll select only this one and click on okay so out of 399 rows we have one 2 3 4 5 we have how many rows here you can see six rows okay that has this question mark character basically these all are missing values only so we have to impute this missing value how we can do that so we can do that by imputing these question mark with median average or mode of this particular column so for that what I can do I can suggest you one more uh way first we need to understand why we are imputing with average mean or median so here if the value is giving an importance and if you remove that missing value will not impact the data set then we can remove directly that row but if the values what we have in the data data set somewhere it giving the importance okay somewhere it is actually impacting the data set so there we should impute those missing values with average mean and mode that we have already discussed when uh while discussing the data analysis using python so here we need to import those six rows with that question uh character uh with medium average and mode value if you want to check the average value let's impute here with mean so what I can do here I will select this column you can see here sum we are getting average we are getting 104 right so the average value of this particular column if I select this whole column here also I'm getting the average value 104.4 69 or one more way is there we can apply what the formula equal to average formula uh we can apply where just just select a cell here if I select equal to average or we can select median also so if I select median medion of what so we have to give the range over here so I'll select the range from where from here to till 399 so the column is D from D2 till d399 so d to column d399 I want the median value when I enter I'm getting 93.5 so we can imput those missing values with this median value okay how to impute now so I will select this First Column okay but let's discuss this first with chat gbt how to impute missing values so when I go back to the chat GPT here I'm getting like how to get the missing value now we'll understand how to impute the missing values if we have in the data set so when I enter this we will get some suggestions from uh chat GPT so through chat GPT I'm getting here some suggestions that here's our common approach which we can use calculate the mean of the column we have already calculated mean we will impute the value not by using mean we will impute with median so instead of applying average function we can apply median function there and then after we can replace the original column with the imputed how we can do that these all are the different ways to impute the values if you want to replace the original value in column with the inputed value you can just copy column C and paste it as values on into column A control+ C select column right click and choose paste spal and value so now we're going to impute the value with the median as we know the median value is 9 3.5 we know uh some missing values we have in this HP column we'll select this whole column we'll filter uh the values and here we will just select all the values only we will select the question mark character rows and uh we are having here that foros three rows uh with question mark we're going to impute this how we're going to impute this we'll select these uh rows we'll press contr h here and you can see find what replace with what so with replace with 93.5 just find this question mark rows and replace this with the median value when I click on replace all you can see that all values got replaced with 93.5 and that's how we can impute the missing values so that's how we can impute the missing values uh if you have in your data thank you now we're going to understand if any columns are in the incorrect format so how we can convert the type of that values like how to convert to other data type by using Excel command so I'm giving here as a prompt that write the Excel command to convert data types if any columns are in the incorrect format convert them to the appropriate type for the above data set so when I enter this prompt let's see what output we are getting over here in Excel you can convert data type using various method here we are getting multiple ways to convert the data type and uh we will going to apply one way other ways you can can apply later first way is converting text to number if a column has U numbers but the data type of that column is text so we're going to convert that column into number so how to do that so select the cell column and which containing the text you want to convert and go to data Tab and click on text to column that's how we can do follow the wizard you choosing delimited or fixed width as need and select the appropriate data format one way is converting number is stored as text another way is how to convert dates stored as text so this is the way to convert dates which is stored as a text changing number format converting text to proper case upper case lower case so these all are the ways to convert the values into the respective data type now we're going to perform for an example if I want to convert text to number so how I can do that so I have to select the cell or a column which containing the text which you want to convert after that go to the data type so let's first select the cell for an example if I select I want to convert the value here is 130 uh for an example uh let's say if I give here not 130 I'm giving here n okay this is text now if I want to convert this value uh with the data type number how to do that so first I will select this next step would be go to the data Tab and click on text to column so when I go to data tab where is data Tab and then after what you have to select text to column here you have to select what character such as commas or typ separated each field fixed with fields are aligned in column with spaces between each field now what is this we check the last step follow the visard choosing delimited or fixed bit as needed and select appropriate data format so I will select here for an example delimited so when I will select this after this in which format you want to select General date if you want to convert in date the which way you want to convert this that's how you can select and for an example I want to convert uh in text is already in text it is in the numeric uh data type that n is not uh text over here this n over here is what numerical okay it is in the form of integer either integer or flaw so how we can um convert that so first click Text and then finish so this particular value will get changed to other data type which will be Text data type and change this value for now should be 130 so now after um discussing about how to convert data type as of now it is not required in our data set so we'll not go in deep but here the next prompt uh which we really need to check is that to calculate basic statistic for the data set what we have already shared here so we going to ask chat jpt write an Excel command to calculate the base statistic for the about data set when I enter this prompt let's see what output we are getting so now in Excel you can see the output what you getting here is you can calculate basic statistics such as mean median which we have already discussed like what is summary statistic and uh What uh summary statistic covers basically it covers mean median standard deviation minimum and maximum value using build-in function here so here how we can apply these function we have some inbu function uh in Excel which we can apply directly and uh we can get these values like mean median standard deviation mode okay so first let's see how to get the output based on this function so here if I use this formula what is this to get the mean value that means to get the average of each column so for an example if I want to know the average so what I will do here I'll just apply the formula here equal to average automatically you will get the name from drop- down list you just select this and the formula is asking you the range from where to where you want the mean suppose if I want to select for MPG column the average value if I want to know of this First Column that is MPG what I will do here I will select the range so from where I want to select from a to that means a column second row till 399 as we have 399 rows for this data set so I will select a column second row from A2 to a399 so I'll give here A2 after that I'll give colum and A3 99 I'll close this with parenthesis and when I will enter here I'm getting the mean is 2349 this is the mean of this First Column that's how you can check the average that means the mean of other column as well so now we're going to understand the median so how we're going to do that we're going to apply instead of average median so equal to median when you will type median automatically you are getting this name in the drop- down list and you just double click on that again you have to give the range from where to where you want the median value I want now this time median for this column that is cylinder Okay so so I will select the range that means the cylinder column is of B column and I want range from B2 to B 399 so B2 column B 399 that is 399th row till 399th row I want median value so when I enter I'm getting here the median of uh b 2 to b39 9 is 4 so that's how we can calculate the median and other statistics as well as we have a standard deviation for that you only have to apply what equal to standard deviation the form is stdv that is standard deviation you only have to select the range from where to where you want a standard devation obviously for each column we have to select all the values for the data set because we are not analyzing few rows and columns we are analyzing the whole data set so we have to select the all value from The Columns you can select minimum value also how which one is the minimum let's select this formula here I will apply this for one column in my Excel sheet let's apply this minimum now here I will change the range I want to check the minimum value of this column origin so origin has uh column H and from H2 to H 399 I want to check the minimum value in this column so H2 till H 399 when I will enter the minimum value is one why I showed this because here we can easily see that we only have three origin right which we have already discussed when we were analyzing the data using python so here you can see that we have three values 1 2 3 and out of 1 2 3 one is the minimum value correct from here it's very difficult to find that uh the minimum value what we are getting is correct or not but here we know that in origin we have only three values 1 2 3 and when we are applying mean function we are getting one that means we are getting the correct output over here so that's how we can uh get the final outcome based on the uh different different formulas which is used for statistical summary now the next step is is how to perform unival analysis using Excel command and how to create charts for visualization of the about data so the next prompt what I am giving here is write command in Excel to perform unival analysis and how to create charts for visualization of the about data when I will enter this let's see what output we are getting here so univ analysis is basically what if you want to visualize single variable at a time so there we perform univariate if you want to perform or if you want to check the relationship between two variables uh then there we will perform byar analysis so here to perform Univar analysis we'll use various plots we can use histogram we can use box blot we can use spy chart histogram is a common way to visualize the distribution of variable how the variable is distributed and box FL is uh to check the median and to check whether do we have outliers or not so that's how we can do so here we are getting uh different ways to visualize uh the data visualization using charts if you want to perform univ analysis means if you want to analyze single variable so one way is using histogram for that you have to select the data which you want to analyze and then go to insert tab insert a statistic chart and choose histogram when I go to Excel sheet I selected over here is origin values from H2 till h84 I have selected now I'll go to insert tab there I'll click on recommended charts all chart I want to select histogram so when I select histogram I'm getting over here the output so that's how my output is this one is one then two and this one 3 so that's how you can check which one has the higher value series 1 how many value till 59 okay so we are getting the frequency uh which is distributed uh in this column so 59 values of one and this one is uh series 1.2 values two has 14 values so that's how you can visualize uh the column using histogram so now next what I'm going to visualize I'm going to visualize uh the other colum but using box plot so if I want to use box plot only the process is same you only have to select the values for which you want to visualize uh through boxplot go to insert tab go to that recommended charts click on all charts and select which one you want to select like for an example here here is box and whisker the other name is box and whisker plot only so when I select box and whisker plot here I'm getting the box plot for the relatable values which I have selected over here so that's how you can select the box plot and you can visualize the data now the next part is pie chart also pie chart like how to visualize the data using pie chart same way I want you all to to explore this I apply the same way as I applied for visualizing the data using histogram and box plot same way you have to uh go to insert tab there you have to select recommended charts and click on all charts and select the pie chart option before that you have to select the data for which you want to visualize through py chart so this is uh the way to be analyze the single variables each variables of our data set using different different charts which comes under univ analysis thank you now let's see how chat GPT can supercharge your productivity within the Microsoft suit first we'll dive into chart GPT for Excel discover how this AI can enhance your spreadsheet skills automate tasks and and simplify data management then we'll explore chat GPT for micros Micosoft PowerPoint learn how chart GPT can help you with creating compelling presentations generating content and streamlining your workflow stay tuned to see how chat GPT can transform your experience with Microsoft Excel and PowerPoint making your tasks easier and more efficient okay so now what if we want to calculate the average of of let's say column number D that is quarter 3 Revenue what if I want what is the average of it and considering that if I am a lay man and I don't know how to use Excel how would I do that in in a shorter way right so I'll just so what will I do I'll just go to chat GPT and I'll write in the prompt right so now I I I'll just check in the data set so if it is column number D right D2 to let's say D20 right I need a average of it right so I'll just mention the row numbers as D2 to D20 right so I'll write this so so it will give me what what needs to be done so right so the the function that is used is equal to average now I'll just simply click on this cell right here and paste in that formula the syntax and it just gives me it seel it automatically selects the range right so if I give them the starting and the end it'll just directly do that right so that's that's how CH gbd can enhance the way you're working on Excel right it will make your life much more easier right so here it gives me 54619 is the average revenue of quarter 3 combining all the companies right here right so if I want to do it the other way if I just want like to give me the the average of uh of the same company in all the four quarters What would that how would that go would just have to mention them okay if it is the same row then it will be B2 C2 D2 E2 if I'm considering the first company right here right so that can also be done now what do I have to do is that I need to calculate how many times is like let's say what are the total number of movies in English French and Italian right how would I do that right so if I know okay if there are four langu angues right here or five languages or how many other languages I want to segregate I want to find how how many are there how many uh let's say English movies are there how many French movies how many Italian movies how would I do that okay so I'll just type in the prompt that how to calculate the total number of times a word has been repeated in a column Comm okay write a SX for the same Excel right so it tells me that the the the function that I I'm going to use is Count F right so in the previous module when I talked about a generalized bit of key functions that are important I talked about count F right to count the number of times a certain thing has come up right so the same thing is what is mentioned over here right is just that I gave you that reference so that you would have an idea of it if I was a lay man if I was just starting out I definitely would not know what count if is now in a very simplest of the terms what I did I just added a prompt here to ask GPT the computer how to calculate the total number of times a word has been repeated in a column write the Syntax for the same right this is basically I'm telling that okay this is the problem that I'm facing find a solution that's your job because this is like an AI assistant it'll help you in whatever ways that you would want right so it has given me an example also how to do that right so I'll just just copy this right here it has given me an option so I'll just let's just put it over here right so it will give me zero because nothing is there so I'll just edit it out the range right now I'll just remove the range section I'll just type I'll just drag and drop all this entire AG from B2 to B22 right then what are the criteria I'm looking for for for English I'm looking for English right so I'll write English English right so I'll just print and enter right so now it has given me the exact number of count that English is repeated in column B right so if you want to check it if you want to cross check 1 2 3 4 and five so that's accurate so similarly if I have to find how many times the word French has repeated in column B how would I do that I'll just copy the same syntax that chart GPT provided me change the range from B from A to B then then a22 B22 right 22 right then Apple changing apple to French right then I press enter so now the French has also been repeated five times similar thing I have to do for just removing Fringe and just adding Italian and now it's selecting a different range I'll just give it the range that I want right and I'll just press enter so six is the number of time Italian uh is repeated in column number B so we can state in general if we have a problem statement how many movies are in English five in the entire data set how many are in French five how many how many are in Italian six so we'll get a generalized way so I did not do anything on my own I just asked chart GPT as an AI assistant that okay help me solve this part so it did right the second thing that talked about was trim right so I'll just ask chat GPT if there are unwanted spaces right I'll just ask if there are unwanted space in a Cell at the start what syntax should I use right I'll just type it out and let's see what it has to say right so it gives me the exact command that I was referring to it gives me that okay it knows you want to use trim because this is how you would get rid of The Unwanted spaces that are there right it just mentions gives me a exact thing how to do it so I'll just copy this I'll just create another column right here right and I'll just write that thing here right so trim a trim this right trim a I'll just start with A2 right so now I'll just write here correct range right I'll just make another column bold it maybe right now this is the thing equal to trim and the cell I have to click on that cell or just type out the cell name so what I will do I'll just since it understands so I'll just drag and drop till the very end and now as we can see right here in in row number eight there was this much unwanted uh space right in number 12 that was there in number 17 it was there 1918 so that extra space that unwanted space is now gone right now you get a clear uncluttered view of that movie title column right this is how you use trim right now let's just take another example right if I want a set number of characters right if I want to extract let's say this is a data set that gives me the name of that state right Indiana Delaware and all all this and the county names with their PIN codes now if I want to just extract the PIN codes right I just want the PIN code to be out there right how would I do that I know that PIN code is of six letters right here right six all it is the same now I want to extract it how would I do that I don't know I would ask chat gbt how to do that so let's just ask how do I exract five letters in the left of a cell and add the same in a new column right so let's just see what Char GPD has to answer so as we also read before that we can use a syntax called as left right how do you use that again it has mentioned number of how to use that I'll just copy this I'll just paste since I want from the left of this cell I'll just paste this right I'll just change the the cell to B2 I'll just add the number of characters I want right I want six letters so I'll just move it to six and there you go I have extracted the first six letters here and I can drag and drop to the entire thing right so this is the thing so basically now the change the shift of using Excel is how either you can learn how to use Excel that's number one but if you don't want to sacrifice on that if you just want a shorter way ahead if you just want that my workflow is is smooth it's faster it's quick then I I do not have the bandwidth or the the time to learn Excel what I would do I would just add chat GPT how to do that so now I've extracted so I now what would happen is that I'm given a business problem the first approach is to go to chat GPT of course use your brain but the first element is to just know what uh chat GP can answer right it'll give you some idea of or the other right so next we can also talk about uh kinat right we we spoke about how it is used but uh again let let me just show you how you can use it what if I want to combine two cells and add it in a new column how would I do that tell me so it it mentions you have to use the function known as concatenate the syntax is mentioned right right here I'll just copy the intax WR here how to use it now the best part about Char GPT is it would give you a Hands-On V just needs to be done also it will give you a brief bit of a brief of how how things are happening right it will not give you anything too Wiig that is not true of course you can try it out you can check it out but yeah you can get what you want from it right so I I have used skin catenate here in instead of this I just changed my uh range right I'll just I want this first name and the second name to come in the same cell so there you go I got it I got the the name together combined right similarly I'll just drag and drop till the very end and it'll give me a the entire combination of column A and column B right so right so next uh let's just uh say another thing let's just find out the number of character is that they there right so how would I do that how do I find the count the count of characters in a single cell how do I do that just type in so it's basically typing out what you are thinking what you thinking right it just gives me the the thing that I can use equal to Len and this trite it out so right count make another column count add my syntax it's just taking another cell I'll just delete it it's just a dummy cell just add cell name E2 and press enter so it tells me okay Miss Jerry 1 2 3 4 5 6 78 9 gives me the correct order 9 and similarly I can do now now the point is that would also take into considerate the space if I have a blank here right it'll increase it to 10 right so it takes in consideration of all the blanks that are there as well right the similar thing if I just don't want this I just want another cell let's say this one so I just put enter right and then the best part I can just drag and drop and it will come off the column B right so these are the things that you can work on right what if I want to calculate the weighted average of a range of sales how would I do that right so I'll just type in calculate the weight weighted average right so it would give me what is the parameter in which I have to do right so it says that some product is the the aspect that I need to look at right so I will have to mention my range one range two then sum the sum of range two right so this is how the the exact weighted average will come right so we can get that as well if you want to right what else can we do let's just look at some other things what if I want to create a drop- down list of a cell right of a range of a column right so what how would I do that how would I create a drop down list right so I would ask it to tell me how it is now one thing that you have to know about it is that the things that are here right it in a in a single thread it has its own memory right so if I'm just writing it down a thing I don't have to mention that okay tell me in Excel in Excel in every prompt it would have the memory of the entire the this entire thread that we are talking about right it knows that the context is about Excel it knows that okay the things that we are talking about is of excel right so it will just give me that the entire thing that will come up here right so it it is stating me that to create a drop down list with the values from B20 you can use data validation here is the thing right select the range of sales you want to drop down list for example assume that you want to create go to the data tab in the Excel click on data validation data validation dialog Bo open settings tab allow drop down choose list so so you can do it in this regard so anything that you have in your mind that that is even a wild thought that okay this is the things that we can change in Excel right but you have no clue how to do that you can just type it out in Excel it would definitely have some of the other way to assist you on what you want to do right this was about the general basic prompts in which you can know what is happening how it is happening right so now in this module let's just first try and understand certain functions that are there so you really do not need to know all this when when you're are working around with with chat GPT knowing Excel but I'll give you a brief about it so that you would have a secondary thinking on how the functions also work along with how you can make charity work around these functions right so the first very important function that is there is known as count if so what is that function what does it do so function that counts the number of cells that match a specific condition right so in a range of things what is the specific conditions that I I opted for so it will count right it will count the number of cells that match that condition so that is known as count if now the basic syntax of a function when you write in Excel is equals to sign then you would write the name of that function here it is Count F so I'll write count F I'll type it out count F then open parenthesis so Open Bracket then the range I would select so I would randomly click on on Excel so how do we select the range let's say you have uh this data that we created so uh my range would be let's say from the cell so from the cell let's say D3 to let's say any anything of that sort right so this is d63 62 right so from D3 to d62 would be my range right so I would just drag uh drag it through the column and that would become my range and then the conditions that I want so if I want to search a specific word so I'll just put it in in in the inverted commas just write that condition and close brackets and enter so it would give me in that range how many times that specific uh instance specific condition has been met so this this is what uh count if does that's the first function the second function is length so a function that Returns the length of a text Springs right so what would be the length of that word what would be the length of that string right so it would give me that number so what is the syntax equal to l n Open Bracket the cell that I need to select close bracket so that would be the second function the third is left and right so if I want to extract like the function that returns specific numbers specific number of characters from from a cell right from the left side or the right side in that in a Cell right so it would give me the number of characters so left the cell number of characters right cell number of characters I'll tell you how it is important how would you know that I would give you a brief on that then is concatenate a function that combines multiple text cells into a single cells for example that you know if I want to combine a lot of multiple text into one single cell then it would help for example uh I'll just take first name second name I just want to merge it in one thing then I'll use concatenate cell one cell two then it'll merge right then is the trim function which removes X extra unwanted space that are there from the cell right so this is done through trim command equal to trim open fance the the cell select that cell close bracket right so let's just move into charge let's just understand certain prompts of this regard okay let's just take an example of this data set right in which I have number of companies mentioned here random companies and it's uh Revenue per quarter so quarter 1 quarter 2 quarter 3 and quarter 4 right now if I want to know the sum of all these right sum of all these how would I know what would be the thing to know the the the sum from each cell right so I can just understand okay this cell number is what what is the cell name E2 what is the cell name here E20 now I can just go to charge and write I just give it a prompt that write an Excel formula to add up the values in cells E2 through E10 so from E2 to E 10 what are the values I want want it to give me how I can do that how I can sum I can't just go to Excel and just be like I want to I I open up a calculator and I just add I I add individual values and sum it right it would not work in that regard right so what would I do right what would I do so I would just ask chat GPT if I'm a Layman I don't know how to use Excel I'll just write write in formula to add up the values in cells E2 through E20 right so so I'll just typee it out so now it will give me the formula to add up the values in cell E2 to E20 in in Excel you can use some function here's the formula so as I already mentioned that a function right in Excel would start from an equality sign then the name now if I want to do sum it it just gives me sum and then Open Bracket the range right so I'll just copy paste this and let's see if it works or not right I'll just randomly place it here right now I'll just put enter now charge without knowing what that data is without knowing what it is it just tells me okay this is how you sum it right now I can just cross verify the thing here right it just gives me equal to I'll put the same formula equal to sum Open Bracket I'll just click on the entire range over here and then close parenthesis and enter right so it will give me the same answer right is just that I did not know if I did not know the the thing called equal to sum what should I do should I Google it out or is it a better way to just give it okay this is the sell this is the thing I want to do just tell me how to do it right so it can act as your assistant to just get rid of the mundane tasks that are there right you can even ask chgb to make you a dashboard of various things right you want to analyze Trends if you want to visualize a lot of things right you can ask it to give us give it formulas or give it the syntax of how you you can modify the data analyze the data you know manipulate that data in the Regard in which your problem statements the solution to your problem statements are met right so the second aspect that I would be talking about is uh let's just take another example now let's just take this uh data set right there so there is a thing called log price now it has a lot of decimals right here right but I don't want these kind of decimals I just want a round whole number to the closest value value that is there right so how would I do that how would I round it off I do not know it certainly right so I would just ask chat GPT I would ask it to just give me that sort of thing write a formula to round a number in a cell to the nearest whole number right so I'll just ask it how does how to do that so it gives me that there is a command it tells me okay there's a command called round you can just you know type what it is there now it also gives me a description of what it is now I don't know what A1 is I don't know what zero is A1 okay understand that it is the cell reference it is the reference of that particular cell now even refers to the cell containing the number you want to round the second argument zero specifies that you want to round it to zero decimal places effectively rounding it to the nearest whole number right so it gives me in a very crisp manner in a very certain way that okay this is how you do it you don't need to you know bang your head around that okay how to do it right you can get easy solutions easy quick methods it's improving your productivity right okay so now if I want to round it off I'll just paste it over here I'll just paste the formula that charb provided me so it says equal to round and the cell now A1 is definitely not my cell it just gave me a dummy number here so I'll just remove it and I'll just space another cell let's just say I want the the the rounding off for K2 cell so I'll just click the cell K2 and I don't want any decimal places so I'll just put enter right so I'll just remove it I'll just place it here so that it's convenient it's in the same row so now it gives me the same thing right so now if I want this to be rounded off so what would I do I will just drag these things here so what would happen is it will just apply all of these things just that Excel has that kind of brain in which it will utilize it for the row that you are providing right so it will know in that regard see so this is how it is there now I have got another column right here that would give me the rounding off of that number so in the income statement how P table or P chart will work I will show you so first we need to select the entire data okay after selecting the data you need to go for insert here you can see pivote table or recommended pivote tables you go to pivote table click on that so it will take like select a table or range so whatever the ranges you required you can select that particular range or you can type here also okay and use external data if you want to use any external you can choose here and new sheet or existing worksheet so in this same sheet only you can see what is a pivote table and how the pivote chart looks like or in the new worksheet also you can see so I clicked on the new worksheet just click on okay so there you can select which which are all the values required for example I required only 2019 2020 2021 okay all three years I have selected this is your income statement correct the total revenues okay this is visible this is your pivote table correct so next how to create the pivote charts means after creating the pivote table next you can go here you will find the pivote chart okay in the same column so just click on pivote chart and here whichever you required like candle border or whichever you required or it is comfortable you can select and click on okay see here all the information all blue colors is visible in so blue color is showing 2019 information orange color is 2020 and this gray color is 20221 so if you want only 2019 and 20 not required 2021 so if you just click on 21 that is untick then you can find only 2019 and 2020 so if you required only one year so 2019 and if you need to compare with 2019 and 2021 so just click on that and here also whatever you want so here also values are there so you can select that values draw and drop here and here also revenues only revenues we have taken we have any other information you can draw can drop here and the values okay that is also there here only so with this P table and P charts charts also we can easily analyze the your financial statements so and if you click on here the filter symbol is visible right so here also you can go and whichever you required like only like first you can select all that is untick then you can select only total gains total expenses total losses and total revenues so here in the 2019 2020 21 we are comparing only these two years okay what is the total expenses and what is the total gain total losses and total revenues so easily we can compare in the pivote charts and if you want 2020 also you can just click on that you will get the information so if you comparatively total revenue and total expenses so in 2021 only it is highest the revenue is also High and the expenses is also high so this is how we need to use the pivote table and pivote charts so if for example I know how to create pivote table and pivote charts so I can easily create if I'm not sure how to create pivote table and P charts so on that time also you can just ask the chart GPT so that will give the stepbystep process to create the pivote table and pivote chart to analyze your data it might be financial data or whatever the data it may be so that will clearly it will give you the step-by-step information to create or how to create the pivote table and pivote charts so first is your prepare your data so already our data is prepared correct next select the data range so what I have done I have selected complete income statement correct so next insert a pivote table so on the left side we have click on insert pivote table next insert tab Excel P table button choose the data source so already selected that is which year you required that is 2019 20 21 that we have selected correct and data sources you want Total expenditure or total loss or total gain or net income whichever you required that you can select and select the location location in the sense the new sheet or existing sheet so if you are going through this step by step okay refresh the P table analyze the data so after the table and the graph is visible easily we can analyze the data of that financial statement okay so if you are not sure then ask the CH GPT that will give the in-depth step by-step activity to create the or steps to create the pivote chart and table so now let's look at the various type of PowerPoint presentations or the types of presentations are present right so there are different kinds of presentations so let's talk about them so the presentations come in in various formats and styles which are cering to the different communication needs and audience preferences now let's look at some of the common types of of presentation types right so the first one is informative presentation so now what this is about this is what you're currently seeing right the the slides that is there right so this slide is basically what is the purpose is to provide information to educate the audience about a specific topic so I'm talking about presentation this makes it a informative presentation type right so these presentations are content driven right so this is a very important keyword right here that this is content driven and the focus is to explaining the concepts and processes so if we look about this current slide right I have a header right right here so this is the header we talk about so then we have the content over here right the context is defined over here so this makes it a informative presentations in which it is good to have a written text and it's okay if there is no image so the purpose is to make an audience understand a particular concept right so for example when I was explaining to you about the various steps right I used something known as a flow d diagram right so this the purpose is to make them understand so first what will happen is train training GPD then splitting then supervis so the way it is structured right this is in a flow type of information right so this is good for an informative presentations right then you have persuasive presentations right maybe the goal here is to persuade a group a set of set group of audience right maybe to adopt a particular Viewpoint right idea or a course of action maybe in a business setting in a business meeting when someone is talking about let's say what are the future prospects of of XYZ uh commodity or XYZ things right so you need to tell them why my idea is better right so the goal of that presentation is to persuade the audience right now you would do anything to make them believe that what you're doing is right so the structure would be in such a way that they adopt a particular Viewpoint at the end of the presentation right then is demonstration or product presentation now what is this about this is about for example if you are selling mve let's say mve is a product right you're selling mve so you're creating slides you want to reach out a lot of audience you're talking about that particular product so how would that show they that would be probably keeping that product picture in the slide then talking about that slide talking about the various elements of that product so that would be a a more related to a product presentation right so these presentation showcase a product or a service the focus in is highlighting the features benefits and value of offering right so this is also very very important type of presentation so basically in a nutshell what you create depends on what type of presentation it is right so basically in a product presentation you cannot create an informative presentation in which you do not have let's say any sort of images and you're just describing the product because because at the end the audience have to visualize what you're talking about right so in order to do that if it is a product demonstration or a product presentation then the product should be the image of the product is the key to make them understand or resonate what you're talking about in a more efficient manner so these presentation showcase how a product or a service works right so this is about demonstration or a product presentation then then it is conference and keynote presentations right you might have been to let's say research conference or let's say an event in which you are a keynote speaker so delivered in these conferences right at large events keynote presentation set the tone of the event and often featured influential speakers sharing inside Trends and thought-provoking ideas now this type of presentation may include a lot of flow diagrams a lot of you know images because you're catering to a large audience right let's say you're you're presenting it in a large Auditorium there there are hundreds of people thousands of people sitting maybe right so getting those fonts bigger for them to see look at focus on right using certain elements that are large certain elements that are small the one that is large would have a greater Chunk in which you would be delivering to them so the focus would be that aspect the part in which the the text would be smaller or the images would be smaller would hold a significantly less amount of time while presenting also the focus would be a bit less then comes sales or pitch presentations now what does this mean now sales or pitch presentation is basically designed to persuade the potential customers or investors to buy a product or invest in a project right now these presentation emphasize the value of proposition the market need and the competitive advantage that it would have right so this would be about the sales pitch that is there then there's something known as elevator pitch now elevator pitch are considered to be a very short pitch maybe in a slide or two the aim is that it should be as quick as you uh going from ground floor to let's say 10th floor so the amount of time you would take in an elevator is equivalent to the time of presentation you would have so this is that's why it's known as elevator pitch presentations so concise and compelling presentations that can be delivered within the time it takes to ride an elevator it's used to introduce oneself on a business idea very quickly so this type of presentations would mainly let's say have a title slide a big header right there then maybe the second slide is all about the infographics in which you have a lot of flow diagrams lot of charts something of that sort would be in a much more greater depth but it would not exceed one two Max not more than that right so that would be the and and the the best part about an elevator pitches it would be heavy on content not necessarily be be text more visual content but it would not go more than two slides that for sure this may be filled up to a lot of Greater chunk there would not be any space it may be like a collage or or let's say a word cloud sort of thing but it would not be more than two slides that's for sure now let's talk about what are the key elements of our presentations we talked about what the various types of presentations but now let's take a dive deep into what are the various elements of a presentation right we talked about the various types of presentations but now let's focus on the element inside the presentations what are the various elements so uh the key elements include number one is the title slide what is the title slide I'll just show you in my presentation itself something of this sort right where the resemblance is a big header right here a big header then you would have something to distinguish it right so this is the format then you also have let's say a template to the presentation right so this slide would be the first slide of the presentations which is known as a title slide okay then so that's what we talked about the title side the first slide include presentation title your name the date possibly the name of your organization or institution right so the second part is introduction now a brief introduction slide that sets the context for your presentation and outline what you'll be covering right so it may have a by line let's say that okay this topic is about this the particular thing right there will be a very short by line right that outlines what you're covering it's not necessarily popular in the current scenario in which you just have a title slide and then you move on to the agenda right so agenda slide is a slide that list the current main topics or the sections of your presentation so that the audience know what to expect right for example I had as an agenda right I had four pointers now this is my first main pointer right first main pointer this is my second main pointer this is my third main pointer and this is my fourth main pointer so what is this required why is this required now this pointer will act as a filler slide for my upcoming modules let's say right so this comes here now how do I distinguish this this is a filler slide in which just the topic is marked in the slide you don't have a extra specifying border to this you just have a a normal let's say a normal text written on a slides known as filler slides why is this important distinguish number one from the title slide because title slide has a much more elevated much more trenic much more clear idea of that this is the title slide in this is just normal slide in which the title is written so the points of the agenda will act as a filler slide or the module starters right in a presentation then you have uh let's say uh various charts and graph visual representations right now if it is a sales pitch or if it is an elevator pitch or if it's a let's say any sort of uh keynote P the charts and graph play a lot of role right if if you go ahead and uh see a lot of TED Talks whatever the presentations they present would either have a graph or a visual representation maybe a photo in the middle of the slide right maybe a photo in the middle of the slide and then you would have the story done around that picture right this would be the main element then or maybe the case there would be if it is a very technical sort of thing you would have let's say a scatter plot made a line plot or or bar graph or histogram then you're talking about that in the entire then you don't have much sort of text you would have a graph you would label the graph of course X Y what does this represent what does this axis represent and then you would talk around that part in the presentations right use visual representations of data to make the complex information more digestable and understandable right you don't want your presentation to have lot of complex jargons because then the attention of the learner would go away they would probably scroll their phones and not look at your presentations but you don't want that you would want them to be hooked on to what you are speaking and what you showcasing so it becomes really important to start off with right then transitions are very important right add smooth transitions or animation so this is usually done when it is sort of either informal presentation or if it is something that is not very what do we call animations would be something that transitions good animations may make it a more informal presentation right when you have lot of let's say floating things coming on lot of jumping things coming on right you have those animations in the presentation right smooth transitions is when let's say you have a flowchart right you have a flow process that is defined so what would happen in a smooth transition this would come first this would be the second this would be third so when you click next so only this will be displayed then this this will be displayed then this will be displayed in a step-by-step manner so that is something that is really formal you can use that in any sort of settings but the animations are a bit more informal approach so try not using too much of animations in your deck then it would be more like creating a school level presentation and not something that would be a university or a or a corporate sort of presentations then is examples and case studies so if applicable include real world example or case study so one of the best methods to engage your audience one of the best methods to make your audience appealed or hooked to your presentation is through example and case studies right people always remember this people always resonate to the real world examples and the real life case studies that are there right because it adds credibility to the presentation which is very very important then also you can use if it is something that is motivational presentation add relevant quotes you can add from experts or if maybe maybe it's a sales pitch right if you're talking about you know selling a particular product then you can talk about the actors that you have that are there your brand ambassadors those who have spoken about that particular product you can add quotes if it is a motivational sort you can add quotes from various world leaders various famous personalities and you can make your presentations more desirable more uh attrative more relevant to the scenario so these are the various key elements that are there also one of the major aspects is to focus on the content slides now content slides are the main body right for example in an email you have subject you have the header you have the first by line of some sort you have the main body text and then you have the ending to the email similarly in a presentation you have your opening of the presentation you have the ending the summary part but then in the middle is what we call about the main body text how would you end when you deep dive into let's say technical Jons when you talk about main context of the presentations which is not too fancy so that is when you have to be clear and concise with your points now each slide should have a single main point and idea avoid clutter on the slides right don't use a lot of pen while explaining that may make your presentation uh not desirable avoid clutter and keep text concise then is use relevant images charts graphs and diagrams to complement your points and make your presentation more engaging now bulleted list when you're presenting key points use bulleted list for easier readability font and color ensure that the phont size is large enough right now Fone also plays a very critical role right if your let's say if your header is of let's say uh text style let's say 32 text F size 32 and your body is of text size 9 which is also give a very you know bad feeling when the header is too big and the the content size the main body text is very small that's also not good you have to create a margin you have to make sure that your header is clearly visible but not overly visible that it disrupts the audience from looking at the presentation then uh the color right you don't want to use you can use a lot of bright colors to highlight specific points but let's say let's assume that if I were to make this entire thing red right how would that feel that would not be good right so let's say that if I make this slide a very bright color let's say if I put uh a very very bright color indeed let's say red right it's very not appealing right it's not soothing it's like something written in red which is also not good right if I make it to to let's say uh very bright color let's say yellow right I cannot barely read anything right so it has to have that readability it has to have that you know sense of things P when you have to do bold you have to focus on a specific point then make that relevant Point bold if not then leave it so that's how you have to make your presentations more engaging so in this module let's talk about creating content using Char gbt by content I mean the slides let's create a presentation but let's first look at the interface of chat gbt let's look at how the dashboard of chat gbt is let's have a handson on that okay I'll open up search uh engine right uh you can take Google Bing anything that you write and then I will type in here right so I'll search for charge now the first link that comes is charge by open AI right we know it's made and developed by open eyes we'll click on that so now uh I have logged in into my account currently and uh so I have logged in so let's look at a brief view of what chat GPT is about so what you get is two models Chad GPT 3.5 and GPT 4 so now what is the difference basically chart GPD 3.5 is free for all it is for anyone and everyone to use GPD 4 is a paid version of it right I have bought the paid version so I have both models gp4 and GPD 3.5 right so what happens is what is the difference between the two Let's uh look at this I'll open open eyes website so if I see open ai's website I will come across a lot of things right let's say if I want to look at the two uh most famous products by openi that is Char gbt 3.5 and four right so now let's uh look at the model GPT 4 that is the latest model by uh open a so let's know how it is more advanced right so gbd4 is an open AI is most advanced system uh which gives much more uh logically correct logically sound results than its previous model that is GPD 3.5 so now what has happened in in gbd4 the neural engine is of much higher accuracy it has much more understanding and problem solving abilities than its predecessor so it has much more logical reasoning aspect to it so if you add a lot of heavy uh let's say logical reasoning questions it is much more suited to solve it than its predecessor 3.5 right however the speed of GPD 4 is slightly slower because it has much more uh problems in the back end the algorithm is is in such a way that it takes more time to give your results but the the accuracy is much more in gp4 than in gbd 3.5 right so uh now let's see uh gbd4 is more creative ative collaborative than ever before it can generate edit and iterate with the uses on creative and technical writing tasks such as composing songs writing screenplays or learning a users writing sky so for example if I give gbd4 that write a poem on on let's say any topic but every word in that poem should start with the letter M so it will give me that result it will make a poem it will generate a poem from scratch which is is not by the way copied from anywhere but it will create a new poem for me which would start which would have all the words that starts with the letter M now gbd4 uh surpasses gbd3 in the advanced reasoning capabilities they have given the input how gbd 3.5 that is charb is different from gbd4 right so in the percentile rankings right so 90th percentile right that's a that's like top 1% of the class right that is the result that gbt 4 got when it gave these exams right when it was run the exams were run through these so it gave 90th percentile that is basically Olympiad level things right top 1% right right in biology Olympiad it is 99th percentile that's basically a Topper right so that's how Advance it has become right compared to its previous models so it is ongoing the research is ongoing opening is still developing these models right but as it mentions right that gbd4 is 82% less likely to respond to request that this allowed content and 40% more likely to produce factual responses right more factual accuracy than its predecessors so that's why gbd4 is really really popular but it is currently paid both the models are good but gbd4 is a much better model in terms of response and everything right so uh now coming back back to the topic here's a quick dashboard on it you can write your prompts in this message box here in which you can write your prompts then you can send your prompts whatever it is right and uh this is basically the threads right the threads whatever the threads are there that would be in this black section right here right so you can add new chart from here you can close this sidebar when you are you know uh asking or writing your prompts of particular topics you can minimize that one right so one thing is that uh chat GPT right uh this has learned and trained the data right whatever it has trained is up to 2021 September 2021 so anything that is after that it does not know if I ask him what is the date today right or maybe if I ask him what is to days breaking news across the world right it would not give you because it will write here I apologize that I do not have real time capabilities my knowledge extends up to September 2021 so it will give you directly that okay I have not been trained to you know talk about what is happening in the world currently because my knowledge is up to date up 2021 right so that's one disadvantage that's one drawback that chat gbt has that it's not aware about the current things that that are happening right if there is any change in certain things it would not know right but on the other hand now I can tell it I can copy paste this if I want from here I can so this is for their own backend understanding that whether this was good so if it was good then they would have a parameter this is giving good result if not then I could I could put the thumbs on one right then it would know what are the you know giving them the feedback that this was not helpful this isn't true so you can give the it'll learn on that one right So currently since I use 3.5 so it showcases me that it's default model 3.5 now coming back to our topic in which uh we were talking about how to create a presentation how to create slides using chart GPT right so in this scenario in this context like let's start off by taking another random topic let's say let's take climate change for that matter now I will put certain prompts and create an entire deck how I like how I want the deck to be using chart GPT right so for uh better results let's just take GPT 4 model and let's just uh type in our our prompts here right so my first prompt would be quite generic I would not add too many details in it but when you're talking about gbt 4 model if you give them various parameters then it is much more helpful otherwise gbt 3.5 and four would be the same so if you have a lot of parameters let's say uh climate um when I talk about climate chains or the topic about climate so I would have if I want to input a lot of parameters in it you know talk about the audience in let's say Asia Pacific region know about what is happening historical data on how the global warming has uh has started or or is on the rise what what are the various greenhouse gases so all that if I have to talk about I can give them the parameters to talk about right so all that we'll see let's get into it let's dive deep into it so let's just type in first what should I name right let's say um if I have to create a let's say PPT on the topic climate change could you suggest me some catchy titles for my PPT right so let's just type in let's just see what it gives me right now I've given that I have to create a PP on the topic climate change could you suggest some catchy titles for my PPT right now uh it will give me a list of of answers right it will not give me one or two answers it will give me a list a good chunk of more than 20 or 20 results right and I can pick from there right Earth is a Tipping Point understanding climate change unraveling the climate for nandrum the heat is on decoding climate change so all this is given now I can choose right let's just take any uh random thing right uh let's just say um let's just take I just take this one right right there Earth is at the Tipping Point now if I want to create can you create uh let's say I want to create a by line right by line for this title you know so also right if I do not know I have just heard the term by line and and I do not know what by line actually is right so what would happen is that I it would just give certainty diine can help provide a little more context or highlight the unique perspective of your presentations right so decoding Earth's Rising temperatures and the fight for survival and then so it basically gives me a by line as well now what I have to do is I have to ask Char gbt to give me an entire slides how much is the amount I will specify but to create an entire deck out of it a slight deck out of it right so let's just do that so now I will talk about create a slide create a slide deck of uh let's say 14 slides highlighting I'll just first give a random dump about climate change right so I'm just giving it that create a slide de 14 slides about CL now make sure that the context here is that you do not have time to make the presentation let's just say that you have to make a presentation next day or the day after and you're running low on time so what would you do you would make use of CH gbd so that's all this is about right so now this uh let's see the result now here's the proposed structure for your 14th slide PowerPoint presentation now slide number one is about title slide so I have already chosen Earth at the Tipping Point understanding climate change now this is the beauty of charb it understands what you have asked Char GPT before in the same thread right if I'm talking in the same thread right this is the new chart in the same chart if I'm talking to chart GPT right it will understand what I have spoken before it will understand what I have I have input before right it have that memory in the same thread right so now it understands that my title that I electri is Earth at the Tipping Point understanding climate change right in two prompts before I I I did this one right so I I chose it understood that from this entire dump I have chosen this part right and it gives me after two prompts it gives me the same thing right the title slide title is this subtitle of this is decoding Earth's riding and fight for survival right so it gives me the first one here because I did not really specify it if I would have it would have given me the the one that I wanted right now it says that my slide one should be the title slide this is I explained it in the key elements the first slide is always the title slide then is the introduction a brief introduction about climate change its causes why it's important to understand and address it right then defining climate change this all this now if I'm not happy with this right if I'm not happy how it has you know given me the things I can ask it to make it better right so now what I'll do is I'll ask slide number two that is Introduction right so I'll copy paste this right here and I'll paste The Prompt below and what will I do I will just write add elaborate this point now I have to think in this perspective if it is an introduction slide how many pointers do I need right do I need to add images or do I need to add more text right so elaborate this let's say I find let let's say four more points should be there more four valuable points points elaborate this point in four valuable points and add a case study example from history right history okay so now I'll give it this problem let's see what the result is so slide number two right a brief introduction about elaborate this point in four valuable points now it will give me the dump that okay this is the thing what what is climate change climate change refers to a long shift in temperatures and weather patterns particularly a rise in global temperatures right case study the little ice age a period fooling from The 14th Century to the mid 19th century illustrates the natural climate variability during this period temperatures dropped by only about 1% but it was enough to freeze the river themes in in London causing widespread crop failures right so I asked him to I asked the chart GPT model to give me four valuable points and add a case study right example now I wanted to add a case study right but what it did is it added a case study in each pointer right which is what I did not want right so I'll write here just give me one case study in the above answer in the above answer and just give me one case study in the above answer and keep the pointers up to one line let's make it two lines two okay now let's see if it understands or not right yeah so it it gave me the thing understanding climate change the causes in I I asked it to give it in two lines it gave me to into two lines and then I asked one case study right one just give me one case study so now it gives me one case study that the dust ball of 1930s in in United States is an example of a climate event by human activity poor farming practices like to white Switch soil erosion and dust storms creating a decade long drought although not uh direct parall to today's Global issue that has demonstrate how human actions can dramatically affect crime now this is something now if I have to verify this I can go and I can write it in Google and see if this is accurate or not which we should do any content that you put or go forward from adding from charb it needs to be much more clear here number one in terms of the facts if they are wrong you need to cross verify it right if you have any doubt cross verify it because charity is accurate up to some level but you need to make you need to cross check because it may be wrong at times it's not fully up to the point in which there are no errors there are errors there are things that are factually incorrect so you need to also check that point as well but since climate change is a very generic Topic in which you don't need to address a lot of uh you know technical terms so this becomes much more easier for for making a presentation for sure so understanding the climate change the causes the need to addresses the importance awareness right so now I have four headers in these things right okay let's now talk about uh how to add these slides in PowerPoint presentation so what I'll do is uh what I have got here right now I want to elaborate it right so I'll just write I'll just rechange it so there's this option here where you can modify the current prompt right so I'll add uh shift enter then I'll add add four let's say Five Short pointers in each section okay in each section short crisp let's add the word crisp pointers see Cris pointers in section so let's see what the result is so now what happens is it would give me an iteration right it would give me okay so this was my first iteration this is my second iteration so it will give me from now it understands that title slides cannot have a four point pointer thing so it will not give me those kind of four pointers right now this gives me a lot more pointers I've asked for four pointers it's giving me five pointers that is there now I want to add this in in my PPT let's say so I'll just go to I'll create a new right so what I'll do is I'll refresh this and I'll I'll click on the right button then I'll create a Microsoft PowerPoint presentations right I'll name it as climate change climate change right I'll double click it I'll open it now this is what comes up it's the PowerPoint that opens up now I want to add a new slide right so can I can create a title slide that is right there then I can add H subsequent slides right then I need Title and content then I can have much more like this so slide number number one let's see what what it has given me right so it has given me first is the title slide is Earth at the Tipping Point of climate change so I'll I'll click on this I'll copy paste this then I will add this here right climate Earth at the Tipping Point right at this so this is currently at 54 let's just move it to 42 and let's just change this to let's say calib and I can bold it and I'll bold it now if I want to add a subline by line right that can also be done decoding us Rising temperature and and this I can right so this is generally in a lesser known in a let's say a bit more smaller than the previous so I kept this one as 42 this one I'll keep as 24 or 24 is is fine so I'll keep this as 24 now uh this is my title slide right there right so this one is sorted now the second one is adding the content the second one is about introduction right introduction I will either type or I'll just copy paste it introduction to and just say climate change okay so it comes up in board automatically at 44 but I'll reduce it to 32 right 36 let's just take it okay have to select all I'll just give the number 36 okay and I bold it's already bold it is perfect right then I can add the content straight away from what it has given me right definitions brief explanation introduction and everything right so now if I want to add another slide I'm not happy with the flow right historical overview I'll just click on this then I'll okay so it has given me this response but I think I want to let's say I want to have in third slide introduction I'll just uh have copy ped definition of climate change re introduction right so now these are my main pointers right but I can't really write definition of climate change right so what I'll do is right elaborate on slide two and chis pointer right so now it'll go back and it'll think what this is about now climate change reference it has given me that it refers to the temperature something yeah wether patterns and temperatures it includes both global warming driven by human induced emissions of green gases and the resulting so what I'll do is I'll just C copy this and I'll just paste this so since it's the introduction the first pointer is about will be about about climate change right then second would be its uh Universal effect is this yeah so second I'm talking about what are the global impact it will have so I'll add that structure right there right now if I feel now if I feel that this is so I'll just put the text Bo I'll just write 24 right okay so give me then I'll just go and make it the entire text box I'll make it as 24 right now if I want to justify this right let's just say that I don't want this empty spaces so I'll just copy paste I'll just control J so the text would be from Line to Line format okay so it will be justified as mostly happens in a research paper of some sort right uh then I want in the second page I want something else let's say the topic on this significance right so I'll go I'll just space here I'll just have 24 so I can write in that manner now I want to include another slide in which this is there right so let's just say that would be the third slide now if I want to include uh so I don't want to include this I'm going to include something else right uh in this I'll just copy this all right so elaborate on on the pointers right so this can happen so basically anything and everything that you want can be done through this right you don't need to you know look around a lot of places when you're running short of time make sure that the the content is less technical because then you would have to verify a lot but in cases of for example this right role of carbon IND and Green Houses I would want to go and verify if whatever this is written right is correct or not is are the greenhouse gas is correct or not so which in which I can see is correct by the way but you know you have to verify it you have to go and verify it right so what what is this now I can add these pointers I can just go ahead and add the pointers right here right so I can add the pointers so now what is the best part about this is let's just take that U I want a historical Kee study to be presented right or I can ask them for historical case study on climate change let's just modify some parts so I'll write for historical case study uh on climate change can you add historical exam example right so from the very start it is giving me the responses like the little Ice Age dust ball keeping curve 2003 European Heat Wave uh record Arctic heat ice melt and all that so this is giving me this now I can add these case studies in my presentations or what I can do is also one more prompt I want to introduce is that developer SL they introducing the main objectives of a climate change campaign include bullet points highlighting the key goals and strategies to be implemented right so what does this mean this means that uh increasing the awareness key goals influence policy right policy changes need to be introduced engaging communities Inspire actions right so the various strategies to implement is educational programs policy advocacy so all these things right so now the key goals are written so how however it was structured in key goals and strategies so it will give me two different things now if it's my choice if I want to add it or not so let's just type in another thing let's just see what it gives the response so design a Slide featuring the timeline of important historical events in climate change movement utilize a horizontal layout and add brief descriptions to each each event to provide context so so if the the prompts a little more lengthier so gbd4 has this ability higher order reasoning right so it can give you better results in that scenario right so the timeline it is giving me in Timeline 7279 what are the various things first world climate conference then here to protocol this Paris Accord that happened to 2015 so that's also mentioned here right so all the things are mentioned here how the they are now if I want to have this right so give me this was the most popular one right so elaborate on this if I want to give a case study much more depth so I will add a prompt that would you know make make it much more bigger now if I read news I would know that there was a Paris Accord in 2015 so what would happen is if I want to add key sections in which I want to talk more about right so these are the elements that I can use right so this will be coming in now in Our Deck right if I have to make a lot of changes so I will what uh I can make the changes to the design aspect of it I can make it uh look how it's supposed to be right I can add changes to the slides how I want the slides to be right so this can be modified as much you can play around the functionalities of it but to create a crisp deck this is what is needed right you can what you can also do is if uh there is that that kind of uh space what you can do is you can also add extensions to the PowerPoint in which you can basically you have to dump what chargeability gives you and it will automatically give the response to it right so now we have got the content up so one other way you can you know ease your process of not copy pasting it to a slide deck or to the Microsoft PowerPoint is through a process called as uh VBA right so what it is let's look at so I will just do one thing I'll just create a dummy presentation right so I'll create an empty presentation as you can see so what will happen is that I will input in this the VBA code to create the VBA code of this slides right so since there are a lot of slides it will not create the entire one but let's just take a dummy example I'll ask Char to create a visual code so now here I have written make a PowerPoint VBA code for this to run on Microsoft PowerPoint right so let's see what the result is about so now it has given me all the code right it has made a code uh that can be copy pasted in PowerPoint and the slides will be there right so let's just copy paste this code let's go to the empty presentation that I have created so I'll click on this then do alt f11 right so what will happen is that it will open up this window right now what I have to do is I have to create I have to go on insert create a new module right so this new module is created right now what I'll do is I'll copy paste the code that was there in uh chat GPT gave me for VBA so so this is basically Visual Basic for applications what it does it is your is your process of making a presentation so if I run it like F5 is how do you run so if I run it my it will automatically create these two slides from the dump right this was a dummy so two you can create more if you want so you don't individually need to add the content in there right so that's how you make your process easy iier in which you just have to dump what Char GPT has given you it will create a VBA for it you can copy paste VBA in your presentation and make the entire slide deck so how convenient it is right so this is all about VBA now let's explore how chat GPT can boost your capabilities in digital marketing and finance first we'll move on to chat GPT for digital marketing and learn how this AI can craft compelling marketing campaigns optimize ad performance and engage with your audience effectively then we will explore chat GPT for finance and see how chat GPT can assist in financial analysis forecasting and providing insights to make informed decisions ready to dive in let's get started with these powerful applications of chat GPT all right so now that you understand what exactly is artificial intelligence and what is chat GPT it is time for us to actually dive in in all these different concepts related to content creation and SEO and understand how we can Leverage The Power of chat GPT there so first of all in this particular module we will be talking about chat GPT for drafting emails when we talk about emails and different email drafts how can chat GPT help us there so there are different areas where chat G can actually help us number one is subject lines whenever you send an email there's a subject line that is there and subject line is actually one of the most important things about any email let's say you are sending a job application to an HR whether the HR is going to open your email or not open your email that completely depends upon how catchy your subject line is similarly as an organization or as a business owner if you're sending an email to your customer whether they are going to open it or they're completely going to ignore it that completely depends upon the subject line so how can you generate some catchy subject lines that can be done with the help of chat GPT and we'll see how exactly that can be done then AB testing let's say you want to have two different variations of the subject llies number one is something and number two is close to that the ense is same but then it is in a different way phrased in a different way you want to check which one is working and which one is not working that's nothing but AB testing so if you want to have variation for one subject CLI or or for email body or for something else that can also be done with the help of chat GPT then translation whether you want to translate it from English to Hindi or Spanish or Japanese that can be done too then personalization if you want to change the tone of it to more personalized more engaging all of that can be done proof reading if you are writing an email which is extremely important let's say you sending it to your potential investors as a business owner it should not have any grammatical or punctuation errors so how can you proof it it well CH GP is the answer then if you want to create some generic templates let's say you are sending an email to the HR or HR is sending an email to a candidate rejecting their profile or accepting their profile how can we get these uh templates that can also be done with the help of chat GPT then response drafts let's say you got an email and you need to draft and response for the same how will you do that chat GPT can help you in that area as well and then of course email body too so these are the different areas where chat GPT can help us when it comes to drafting emails and now it is time for us to go to chat GPT and use that tool in drafting these emails that we talking about over here so first of all to tell you how exactly we go about using chat GPT let me put in a random query saying can you create email templates for me let me ask chat GPT and let's see how it gives us different outputs so if I type in the query can you create email templates for me it says sure I'd be happy to help you create some email templates please let me know what type of emails you need templates for and provide any specific details or requirements you have in mind here are some examples of email templates for common use cases so this one is business introduction email where it is talking about the recipient name and then the email body and then finally the salutation Etc all the things are given in a very good way similarly job inquiry email and then it is giving us more examples related to some followup email and all these different templates are provided now let me put up a case and let me ask chat GPT if it can give me the email template for a very specific situation let me say that I am a business owner and I need to send an email to my customers informing them about the upcoming 25% discount on all my products that I am offering in my organization can you generate a template for me let me put in this query and see what are the different results that we get so as you can see if I type in the query I'm a business owner and I need to send an email to my customers informing them about the upcoming 25% discount account on all my products and I'm asking chat GPT to generate a template for me so if I press enter you can see it is going to give us an answer it says sure here's a template for an email informing your customers about an upcoming 25% discount on all your products it is giving me a subject line saying exclusive offer 25% discount on all our products then it is talking about dear customer name we hope this email finds you well as a valued customer of this in this company we are excited to share some great news with you we are thrilled to announce an exclusive limited time offer for all our loyal customers and at the end if you see it says thank you for your continued support and we look forward to serving you during this special offer hurry this exclusive discount won't last long it is giving a call to action as well and it is giving us a note that please customize this template to fill in in the necessary details such as the start date duration of the offer promo code and contact information to make it relevant to your specific business and customer base so that is the power of AI we are talking about when we come to chat GPT so you put in some information related to that you want a 25% discount you are a business owner and you are sending this email to your customers and we just asked for a simple template that we wanted chat GPT to create for us and it gave us a wonderful template now we can use it as it is or we can make some changes depending upon the business requirements on our specific needs now let me ask chat GPT if it can make the above mail specific to let's say my clothing brand I said that I a business owner let's say I'm the business owner of a clothing brand and now let me ask chat GPT that can you make the above mail specific to my clothing brand and here you go certainly here's a revised version of the email template tailored specifically for a clothing brand exclusive offer 25% discount on all your clothing brand name products so you see the difference initially we didn't talk about a particular brand so it's saying exclusive offer 25% discount on all our products but here as soon as we mention about the clothing brand it is picking up the hint and it is giving us a revised version of the same template you can see the dear customer name and here you can see that it is talking about things related to clothing brand whether you have been eyeing that perfect pair of jeans that stylish dress or that cozy sweater now is the time to grab it at an incredible price our clothing brand name collection features the latest trends in fashion made from premium materials and designed with exceptional craftsmanship so that's the beauty of chat GPT it gives us some amazing results in form of some catchy phrases so that's how we can use chat GPT when it comes to content creation for drafting emails now let me ask chat GPT if it can make the same content piece same email more catchy and engaging for the customers let me type in the query can you make it more catchy and engaging for the customers and here you go here's an updated version of the email template that adds a more catchy and engaging tone to entice your customers here the words are changed now if you see the subject line flash sale alert get 25% off all our clothing brand name Styles hey customer name are you ready for some serious fashion savings we have got an exclusive offer just for you get ready to upgrade your wardrobe with our hotest this and this brand name Styles at an unbeatable price and all the other information is provided par by par as you see and it is very very eye-catchy and can grab the attention of any customer who's going to open that email now let's say but you feel that this is a very good sample but again it is too long and you want chat GPD to make it more concise so let me put in the query this is too long can you provide a more concise version of this email template let's see what are the results we expect and certainly here's a concise version of the email template for your clothing brand hurry 25% off all this and this brand name Styles High customer name ready for a freshen deal you can't resist get 25% off on all this in this clothing brand name styles for a limited time only and you see the duration and the length of this particular email is very very less and shorter compared to the previous sample so that's the beauty of chat GP if you get an answer and you want to tweak it a little bit let's say you say chat GP to make it more engaging to make it more personalized for the customers to make it more empathetic for the customers you can do all those changes just by putting in a chrome such as this is too long can you make it concise this is too long can you make it shorter or can you make it more engaging this is boring can you make it more quirky all all those different changes can easily be done with the help of chat GPD now let me ask Chad GP to give me some more ideas for the subject lines to grab my customers attention let's see whether it can give us some amazing subject lines or not so if I put in the query give me more ideas for these subject lines to grab my customers attention and you see that here are some additional ideas for subject lines that can grab your customers attention number one flash sale alert you at 25% off all your clothing brand name styles then if you go to the seventh one spring savings 25% off all your clothing brand name collection or celebrate with savings 25% off on all the different styles or Limited stock aler you see these are some amazing subject llies that you can definitely use in your email drafts now let me ask chat GPT to give me some ideas for the call to actions in the email body now in email bodies call to actions are very very important especially when you're sending these emails to your customers if you won't have any call to action the customers will not have any idea what they supposed to do after reading that email but if you click on buttons such as learn more or let's say you click on uh you ask about uh go to the website or visit our page if some call to action is uh there then it will definitely increase the traffic to your website and you can convert more and more customers and you can be more and more profitable so now let me ask Chad GPT to give me some ideas for the call to actions or cdas in the email body and here you go certainly here are some ideas for cdas that you can include in the body of your email shop now and save or get the deal or claim your discount or browse now and save big or show with promo code and promo code can be mentioned over there or don't miss out shop now these are some amazing examples of how CTA should be at the end of your email body now let's let's take a different example let me ask chat GPT to give me some other draft let's say I am a computer science engineer from IIT Bombay with 3 years of relevant experience in software development I want to ask chat GPT if it can suggest an email template that I can use to send my resume to the HR of a potential employer the very important thing is whenever you are sending your resume it is extremely important that you draft a very good email so that the HR not just open it and they also have the courage to go and find your resume and then download it and then show it to the hiring manager so it is extremely important what you are writing in your email let me ask chat GPT to give me a few suggestions in ter terms of that email draft that I can send to the HR of a potential employer or a potential organization that I wish to join let me put in that information and see what are the results we can expect so as you can see on your screen if I put in the query I am a computer science or CS engineer from I Bombay with three years of relevant experience in the software development can you suggest an email template that I can use to send my resume to the HR of a potential employer here's the answer here's an email template for sending your resume to the HR of a potential employer subject is application for this and this position and your name dear hr's contact name I hope this email finds you well my name is this and I am a highly skilled computer science engineer with three years of relevant experience in software development I'm excited to express my interest in this and this position at your company as an aluminous of the esteemed Indian Institute of Technology Bombay I'm confident that my technical expertise combined with experience in developing Innovative software Solutions makes me a strong candidate for this and this position at your organization I have a proven track record of successfully delivering highquality software projects leveraging my skills in programming languages such as Java python C++ so if you see over here all these details we have not mentioned in the question but chat GPT has the ability to understand the tone of what you are actually asking and then provide you a solution for your particular question every time you will put in more and more information you'll make your prompt more and more precise chat GPT will give you better and better information now let me ask chat GPT let's say you have sent this uh particular template to the HR but as an HR or as a recruiter I need to send an email to a job applicant informing them that we won't be proceeding with their application let me ask chat GPT if it can give us a template for the same as well let's say I am the HR in an organization and I receive this particular template from this I Bombay student and I do not want to select this candidate because let's say I feel that this person is not a cultural fit for the organization and now I need to reject this particular candidate how can I send an email to the person saying that his profile or his application is rejected let me ask chat GPT and see what other the result we can actually get so if I type in the query as a recruiter I need to send an email to a job applicant informing them that we won't be proceeding with their application can you give me a template for the same and certainly here's an email template for informing a job applicant that their application will not be proceeding subject update on your job application dear this person's name I hope this email finds you well thank you for taking the time to apply for the position of this and this position at this and this company we appreciate your interest in joining our team and carefully uh reviewed your application after thorough consideration we regret to inform you that we will not be proceeding with your application at this time you can see that we wish you the best of luck in your career Endeavors and thank you again for your interest in this and this organization so now you can change this according to your needs as an HR whatever position and you can change these different details and you can use this template as it is but let's say as an HR to save your employer branding you feel that this is not empathetic enough since you are rejecting a profile it might hurt the feelings of the other person who's going to receive this particular email so to save yourself from hurting the feelings of the recipient let's say you want to make this template more empathetic now let me put in the pr that can you make it more empathetic and let's see what is the result we can get from chat GPD and enter absolutely here's a revised version of the email template with a more empathetic tone the subject is update on your job application dear this applicant's name I hope this email finds you well and we sincerely appreciate your interest in joining our team and want to express our gratitude for the time and effort you put into your application for the position of this at this company now you can easily see the difference that the second one is much more empathetic sample when compared to this one here the email says that I hope this email finds you well thank you for taking the time to apply for the position but here if you see it says that we sincerely appreciate your interest in joining our team and want to express our gratitude for the time and effort you put into your application for this and this position at this and this organization you can easily see the difference in this entire email sample that it is much more empathetic and it will definitely not hurt the feelings of the person that you're going to send this email to so it is a much more better example when it comes to sending an email to a candidate who's rejected or whose profile is rejected now let me take another example and let me ask chat GP to give me a sample email template that I can use to inform the sellers of let's say my e-commerce company about a new update in the business process business processes keep on evolving I have let's say changed some business process and I want to inform the sellers who are there on my e-commerce platform how can I send them an email informing them about that business process change let's ask chat GPT if it can provide us a template for the same or not and here you go here's an email template the subject is important update regarding business process and the company name dear seller's name we hope this email finds you well we are writing to inform you about an important update in our business process at this and this company as a valued seller on our platform we want to keep you informed and provide you with the latest information and we are excited to share that we have made some changes to our business process to better serve our customers and improve the overall seller experience the update includes briefly explain the update or changes in the process and then all that details are clearly mentioned over here thank you for being a valued seller on this and this company sincerely and you can write your name your title and company name it gives us a great sample now similarly let's say you want to translate this particular email sample to some other language let's say your sellers do not understand English or you want to change it to let's say German or Spanish or Hindi or some any other language you can easily do that with chat GP let me ask chat GPT that can you please translate the same template to German and you can see that chat GPD is able to actually translate the same email template into some other language here we took the example of German language similarly you can take the example of any other language let's say Hindi Spanish or any other language you can ask chat GPT to translate your particular email template into that language and it will be able to do that for you that is the power of AI and that's precisely how we can leverage chat GP when it comes to drafting emails now let me take one final example let me ask chat GPT that I need to send a feedback email to one of my subordinates within the organization let's say there's a problem with that particular person that he's constantly missing the deadlines can you provide me with a sample template let me put in that query and see what exactly are the results that I can expect from chat GPD we always have to be ensure whenever we are typing information like this that we want constructive feedback that is generated let's see whether chat GP is able to recognize that and is providing us constructive feedback or not so as you can see if I type in the query I need to send a feedback email to one of my subordinates within the organization who's constantly missing deadlines can you provide me with a sample template here you go subject is feedback on meeting deadlines and here's the employee name dear employee I hope this email finds you well I would like to provide you with some feedback regarding meeting deadlines as part of your role at this and this organization as your manager I value your contributions to the team and believe that your skills can further benefit the organization so this is one of the major good thing which is there about GPT or chat GPT that it gives you constructive feedback by understanding the tone of your question so here I clearly mentioned that I need to send a feedback email to one of my subordinates now chat GPT has the understanding that definitely the feedback has to be in a constructive way so here it is talking about that as your manager I value your contribution so it is clearly mentioning that what exactly are the good parts what are the bad parts and it is balancing the same while giving a feedback to the subordinate by a particular manager here it is mentioning that as a team we rely on each other to complete tasks and deliverables in a timely manner consistently missing deadlines can have an impact on the team's productivity and may result in delays that can affect the overall progress of our project chat GPT is able to understand that whenever we are giving the feedback it is Extreme important that you make the other person understand the impact of why they are missing something and once they miss it what exactly is the impact of that on the entire team and the organization it is able to not just able to understand it but also is typing the same detail in the email draft that we asked it for now let's say you find it too lengthy you can ask chat GPT to make it more crisp make it more shorter make it more empathetic add a particular detail you can do all of that you can tweak the particular template in whatever way you like but that's how we use chat GPT when it comes to drafting emails whether you want to draft an email as an HR that you need to send to an applicant or you are the applicant and you need to send an email to the HRS or a potential company of a potential organization or you are a marketing head and you need to send an email to your entire team to your subordinates or let's say you are a subordinate and you need to escalate something to your manager all those different types of templates can easily be generated with the help of chat GPD we we have seen a few examples now it is time for you to go to chat GPT sign up and try to create as many templates as you need all right so now you understand that we can use chat GPT when it comes to drafting different types of email samples now it is time for us to explore the power of chat GPT for creating social media posts in this particular module we will be understanding how we can Leverage The Power of AI for creating different kinds of social media post for different platforms let's say Instagram LinkedIn Facebook Facebook Twitter Etc let's try and understand what are the different areas where chat GPD can actually help us number one is definitely generating ideas so for social media post it is extremely important that you have some catchy ideas so that you can compete with your Brands and whatever other brands are there which are in the same industry you have to compete with them so to show yourself and gain a competitive Advantage if you need to generate some ideas you can definitely take help from chat GPT if you want to change the tone and style let's on LinkedIn the kind of posts you will be putting those will be more professional but if you're talking about let's say Tik Tok or let's say you are talking about some other platform Instagram stories there the tone will be a bit casual similarly on Twitter the tone will be a little different so if you want to create post for all these different platforms and you want to change the tone accordingly depending upon the platform that can also be done with the help of chat GPD then repurposing if you want to create a post for Twitter and you want to repurpose the same for some other social social media platform as well that can also be done you can repurpose the same post for different platforms based upon their tone and style then you can do sentiment analysis as well let's say on YouTube you see a few comments on your videos you can copy paste the same comments and you can ask chat GP what exactly is the sentiment of all those comments and it can summarize the entire thing for you and it can give you a per about what exactly is the overall feedback about that particular video similarly from Instagram you can copy paste the comments you can get the sentiment analysis done with the help of chat GPD then optimization let's say you want to figure out what exactly is the best time to post content on Instagram or what is the best time to post content on Twitter if you want to figure out these things that can also be done with the help of chat GPT and you can optimize your content accordingly then hashtags for Instagram Facebook hashtags are very very important and can give you a lot of visibility how can you do that with the help of chat GPT let's go and explore now first of all let me talk to Chad GPT in terms of generating some ideas I want to ask Chad GP if it can give me a few ideas for social media post that I can use let's say on a special occasion let's say the World poetry Day is coming up very very soon and I want to ask Chad GP if it can provide me some ideas related to same for social media posts let me put in the query that can you give me a few ideas for social media posts that I can use for World poetry day and let's see what are the results we can get and here you go here are some ideas for social media post that you can use for the World poetry day there are some six to seven ideas that it has already given us as you can see let your thoughts take flight and your words dance on the page Happy World poetry day share your favorite poem on write your own to celebrate this beautiful art form World poetry day # poetry #w dance now these are some amazing hashtags and this is some amazing oneliner on World poetry there that we can definitely use let's say Instagram stories or Twitter on Facebook or wherever we want now let me let me give a very specific example to chat GPT and let me ask if it can help us in one particular scenario so let's say I run a clothing brand this is the example that we have previously taken and let me ask Chad GP if it can write a catchy poem for me that I can upload on my Instagram story it is the World poetry day and I run a clothing brand and I want to ask Chad GPT if it can create a small poem for me that I can put up on my Instagram story and here you go here's a catchy perm for your clothing brand that you can use on your Instagram stories it is giving us the title of the poems says Fashion Frenzy and step into style don't be shy our clothes will make your sore up high from head to toe you look so shake a fashion insta or so Sleek so these are some amazing PMS that you can definitely use similarly let's say you want to make this FM more shorter you want to make it more crisp you want to make it more engaging you can put in the prompt based upon the same and it will give you results depending upon your specific needs now let me ask Chad GPT if it can give me let's say more such poems it can definitely do that if you'll type in the query can you give me more such poems and it will come up with a list of let's say 2 three four five poems depending upon your needs if you also want to give some prompt related to poems and you want to specify the number of words let's say you say that can you give me one more poem of just 200 words or of just 100 words it can again do that for you more specific is your prompt more specific will be the output and you'll be getting better results now let me ask Chad GPT to actually give me some caption ideas for the same event let me ask Chad GPD that can you give me some caption ideas for the same World poetry day and here you go here are some caption ideas to pair with your poem or your clothing brand Instagram story step into style and join the Fashion Frenzy and # fashion instal life # trendy threads or express your Unique Style with a shic clothing # fashion forward style statement make a statement with bold and fashionable clothes here you can see that all these different examples of eight captions which are given to me by chat GPT all these examples are aligned with the example that I actually put up which was of a clothing brand and it is using some hashtags that I didn't even ask that's an amazing way chat JP can pick up hints in terms of what you are trying to get and it can give you more and more answers related to the same let's say now you want to get some more examples of the hashtags so let me ask chat GP that can you suggest a few hashtags that I can use along with the capture let's see what are the results we can expect and here you go # fashion insta # style go or # dress to impress or # OOTD that is output of the day or hashtag shop small so these are some amazing 20 hashtags that I can definitely use along with my captions now let me ask about Twitter specifically let me ask chat GPT if it can create a Twitter thread for my clothing brand on the occasion of World poetry day we are still taking the same example we are still taking the example of a clothing brand but for your organization if you want to take any other example or if you want to create hashtags let's say for an e-learning company or let's say for a manufacturing company or let's say for the event of women's day or for the events of let's say you want to create content for differently enabled people it can be any specific Market that you want to Target you can put in that information and you can get results or expect results really to the same target audience that you trying to Market your product to so you can do all of that with the help of chat GPT now for now we will be taking the example that can you create a Twitter thread for my clothing brand on the occasion of the same day that is World poetry day and why not certainly here's a Twitter threat for your clothing brand to celebrate World poetry day tweet one Happy World poetry day as a brand that loves to express style through words we are celebrating this special day with some poetic wipes join us on this poetic Journey # fashion poetry tweet to roses are red violets are blue our clothing is shake and made just for you now these are some amazing examples that you can definitely use as it is for your clothing brand on the World poetry day on Twitter and if you want to let say change it to Instagram you want to get some queries related to Facebook all of that can also be done with the help of chat GPD all you need is a precise input that you need to prompt and you'll get an output which is completely new and amazing as you can see on your screen now let me ask Chad GP if it can give me some ideas for let's say some funny tweets on the occasion of New Year now let's change the topic from World poetry day to New Year and we want the genre also to be funny so can you give me ideas for some funny tweets on the occasion of New Year and of course ultimate chat companion has asked us that here are some funny tweet asked by you for the idea of New Year New Year's resolution unfollow all the fast food chains on social media no no more Temptations # New Year resolution so definitely that's funny and that's something that you can use on Twitter or any other platform for the occasion of New Year similarly if you see over here New Year's resolution stop eating snacks without standing in front of the refrigerator it's time to take my grazing skills to the next level # snack lover so those are some amazing ideas that can be used on social media as it is now let me ask Chad GP that can you make these tweets more specific to my clothing brand let me put in that query and see what are the results we expect and here you go here are some funny tweet ideas for New Year's tailored specifically for a clothing brand New Year's resolutions stop wearing my favorite pair of jeans every day and actually rotate through my wardrobe # fashion goals # denim addict problems so these are some amazing examples again that you can use on Twitter on social media platforms let's say Instagram Facebook you can ask chat GPT to create content for a specific platform and it will understand the tone and will change the style of the same words and will provide you result which is specific to your requirements now let's say till now was talking about Instagram or Twitter let's say now I want to create something for LinkedIn now let me ask chat GPT to give me some ideas for LinkedIn post that can showcase my clothing brands businessware so I want to talk about businessware and specifically I want to Target LinkedIn audience so let me ask chat GPT to create some content for the same and here are some ideas for LinkedIn post that showcase your clothing Brand's business wear dressing success never gets out of style check out our latest collection of sleek business wear that's perfect for making a statement in the boardroom # fashion business or # dress for success and you can see many more examples like that that you can definitely use on your LinkedIn business page and that can definitely get you a lot of Attraction from the target audience now let me ask Chad GP to create a poll for LinkedIn as well based on the above information let's see whether it can do that for me or not and here you go here's the poll idea for LinkedIn based on your clothing Brand's business wear Paul question what do you consider the most important factor when choosing business wear for the workplace and the poll options are style and fashion professionalism comfort and fit quality and durability brand reputation or trustworthiness now these are some poll examples that you can definitely use on your LinkedIn or you can create polls for Twitter as well so these are some of the examples that you can use chat GPT in different ways to create content for different social media platforms now let me ask chat GPT to actually suggest a few ideas for creating reals on Instagram for my clothing brand so if I type in the query that suggest a few ideas for creating reals on specifically one platform that is Instagram for my clothing brand let's see what are the results we expect and here you go here are some ideas for creating reals on Instagram for your clothing brand number one style guides then behind the scenes you can share glimpses of your clothing brands behind the scenes processes such as fabric ction design sketches or manufacturing Etc you can try on holes or fashion tips or user generated content or behind the scenes events you can take these examples and you can use these for your Instagram reads now let's say you want to come up with a script for your Instagram real you want to record a video and for that professional video you'll need a script let me ask Chad GPD to provide me a script for creating an Instagram real on one specific topic let's say styling tips so I have picked up a hint from this particular question and and now I want to create a real let's say on fashion tips or styling tips so let me ask Chad GP that can you provide me a script for creating an Instagram reel on the topic styling tips and here you go here's a script for creating an Instagram reel on styling tips for your clothing brand scene one text overlay styling tips for a full winter season show a model wearing a sweater jeans and boots and posing in a full winter setting voice over hey fashion instas as the temperature drops it's time to update our wardrobe for the fall winter season here are some styling tips to keep you czy and shake so these are some great examples again that you can use as it is for your Instagram real generation ideas or you can make some changes as per your business requirements or as per your audience and you can use as it is the same things and you can get this done with the help of chat GPT in just a matter of seconds so you can see it's a huge long script now if you want to cut it down you want to make it only specific to one type of target audience for one type of platform you can do all of that by putting in the prompt and chat GPT will give you results which are specific to your business requirements now let's say let's try and understand how chat GPT can help us when it comes to optimization so first of all let me ask chat GPT let's say a random question that what is the ideal duration for the Instagram reel I have created The Reel but I don't know what should be the ideal duration so let me ask Chad GPT to optimize The Reel accordingly and here you go the ideal duration for an Instagram reel is typically between 15 to 30 seconds Instagram reals are designed to be short engaging and easy to consume so it's important to keep them concise and focused which is right you can definitely do that similarly if you have more questions let's say you want to ask chat GPT that what exactly is the ideal time to tweet to get better attraction or similarly let's say what exactly is the ideal time to put a Instagram story to get the better attraction from a specific target audience it can suggest you answers and you can actually Implement that to see the result on your own and definitely it can help you in all those business needs different requirements for different social media platforms now let's also try and understand how chat GPT can actually help us when it comes to sentiment analysis so let's say I given some prompts or some comments to chat GPT that I received on my Facebook post and let me ask chat GP to perform a sentiment analysis for the same so I will be asking Chad GP to actually give me that what is the sentiment of the below comments that I received on my Facebook post and let me see what exactly is the result that we can expect so as you can see over here I have put in the query that what is the sentiment of the below comments I received on my Facebook post your clothes collection is amazing or I love the denim jacket collection the most or I don't like the shoes but the jackets look damn good or the shoes are very uncomfortable love this brand so let's say these are some of the comments that I have got on my Facebook post as a clothing brand and now I want to ask Chad GP to actually give me the sentiment of the below comments I don't want to go to each of these comments one after the other and I asked Chad GPT to do the same task for me and and here's the result so first of all chat gbt is talking about what exactly are the positive sentiment and then what is the mixed one and what is the negative one let's say again I don't want to go to all of these I can simply ask chat GPT to summarize the sentiment let's say I write summarize the sentiment of the above mentioned comments and enter and you can see that the overall sentiment of the comments is mostly positive with comments expressing admiration for clothing collection denim jacket collection and the brand as a whole there are also mixed sentiments where the commentators are like the jackets but dislike the shoes due to discomfort however there is one negative comment warning others not to buy from the brand due to negative feedback about the shoes so by reading this I can simply make out that people are liking the denim jackets and other clothing products but people simply are not liking the shoes and the major issues are discomfort while they're wearing the shoes now I can make the changes in my product accordingly so that's how you can use the power of AI specifically chat GPT when it comes to different brands and using the different social media in this particular module we have understood that we can use chat GPT and Leverage The Power of AI when it comes to social media post from giving you ideas to actually giving you the post to creating polls for LinkedIn and Twitter to do the sentiment analysis for your Facebook post comments it can do all of those things for you even if you want to create some scripts and want to make those changes little bit twixs in those particular scripts you can do all of that with the help of chat GPT and now it is time for you to go to chat GPT page sign up quickly and find some examples some captions and some amazing hashtags for your particular post all right so now you understand that how exactly we can use chat GPT when it comes to drafting emails and for social media post it can definitely help us when it comes to content creation that is clear to us now it is time for us to explore the power of chat GPT when it comes to specially search engine optimization or SEO but before we go to chat GPT and try and understand the different areas in SEO where chat GPT can actually help or chat GPT can be leveraged let us first of all try and understand that what exactly is SEO or search engine optimization and what are the different areas of SEO where chat GPT can genuinely help us so first of all what exactly is SEO or search engine optimization well search engine optimization is the process of optimizing a website or web page to increase its all right so now you understand that how exactly we can use chat GPT when it comes to drafting emails and for social media post it can definitely help us when it comes to content creation that is clear to us now it is time for us to explore the power of chat GPT when it comes to specially search engine optimization or SEO but before we go to chat GPT and try and understand the different areas in SEO where chat GPT can actually help or chat GPT can be leveraged let us first of all try and understand that what exactly is SEO or search engine optimization and what are the different areas of SEO where chat GPT can genuinely help us so first of all what exactly is SEO or search engine optimization well search engine optimization is the process of optimizing a website or web page to increase its visibility and ranking in serbs or search engine results Pages whenever you go to any search engine the most common search engine we can think about is Google whenever you go to Google and type in a query let's say you type what is SEO there will be thousands of links there but the first two three links that are there which are very very important because those are the links that you're definitely going to click on most of the people click on the first few links and go to those blogs or those videos or whatever links are those provided over there and that actually is happening because of search engine optimization search engine optimization as the name suggests means optimizing a website or a web page so that the search engine ranks it better on the search engine results page wherever you are going to see all the answers to your search query that is nothing but Sur or search engine result page how can you ensure that your blog your content your videos or your particular web page or website is ranking at the top on the the search engine result page that can be done with the help of search engine optimization you need to do a few things on your website or on your web page with the help of which the Google algorithm will be able to understand that your content is relevant to a particular search query and they will be showing your website at the top of search engine result page that is precisely what SEO is all about SEO involves various techniques such as keyword research content creation and optimization link building on page optimization and Technical optimization on a broader perspective we can divide search engine optimization into three parts on page seo off-page seo and Technical SEO you can read more about that but for this particular module it is extremely important for you to understand what is the meaning of search engine optimization now there are several ways with the help of which we can optimize a web page or a website and can organically rank it better on this Ser the goal of SEO is to improve Pro the quality as well as the quantity of organic traffic to a website from search engin such as Google Bing Yahoo Etc now let's try and understand how chat GPT can help us in the different areas of search engine optimization number one it can provide us related keywords to Target keywords if we have particular Target keyword let's say we were taking the example of a clothing brand we have the example let's say denim jacket and now we want related keywords to that CHP can provide us related keywords to one particular Target keyword then it can build content around specific topics let's say we want content around uh styling tips or fashion ideas chity can do that for us then it can help us generate schema markup schema is the language that search engines use to display data and schema markup is a set of code that allows search engines to understand the information on your website that it's actually crawling so it can also be done with the help of chat GPT then FAQs because when you create FAQs those are valuable outcome that it can provide to your organic performance so that is one thing which you can actually improve with the help of chat GPT then tags titles and meta descriptions when you talk about SEO titles The Meta descriptions those are extremely important similarly when you talk about a platform like YouTube the YouTube tags are extremely important then keyword list around search intent if you have a search intent that you want people to come to your website when somebody is searching for let's say one particular thing you can build keywords around that and get ideas from chat GPT we will be seeing all these things once we visit chat GPT and you will be able to understand the different areas where chat GPT can actually help us when it comes to search engine optimization and now is the time when we go to chat GPT and see the use case of all these different areas that we just discussed so now let me ask chat GPT first of all to give me let's say a list of related keywords for one particular term let's say I have an ice cream parlor in one city of India let's say Delhi ice cream parlor in in delhi now while publishizer website on a web page let's say something of that sort I want a few related keywords to ice cream parlor in Delhi let me ask Chad GPT if it can give me a list of related keywords for ice cream in Delhi and here you go here is a list of keywords related to ice cream in Delhi ice cream ice cream parlor ice cream shop best ice cream delicious ice cream ice cream flavors and many other flavors of it soft of ice cream in Delhi and Delhi ice cream ice cream joint Ice Cream festival ice cream truck ice cream catering ice cream takeaway all these are different ideas for the related keywords for one specific term that we put in as the input that is ice cream in Delhi similarly if you put in some other information let's say give me a list of keywords for denim jacket for my clothing brand it will be able to give you a huge RIS that you can definitely utilize now let me ask Chad GPT if it can provide me with a list of related keywords let's say for denim jackets itself and here you go certainly there's a list of keywords for denim jackets denim jackets jean jackets blue denim jackets vintage denim jackets and many other ideas as you can see over here light wash denim jackets to slim fit denim jackets to button up denim jackets to denim jackets for men for women for kids all those are different examples that you can get for the related keywords for one specific term in this example we took for denim jackets now let me ask Chad GPT if it can give me a few keywords I can use for someone who's looking for let's say local pizza in one famous city let's say Paris so let me put in the query can you give me a list of few keywords I can use for someone who's looking for local pizza in Paris City and here you go Pizza in Paris to Paris Pizza to local pizza Paris to best pizza in Paris to Pizza near me in Paris and many other examples wegan Pizza Paris all those are great related keywords that you can get related to one particular intent for that we had that local pizza in Paris City similarly you can type in for your business and you can find the result specific to your business requirements now let me ask chat GPT to actually create content let's say I ask chat GPT to give me or write a 200 words blog for my clothing brand using the below five keyword and I can pick up any five keywords and can put in the input for chat GPD now let's take the example of the same clothing brand and let me ask chat GP that can you write a 200 words blog for my clothing brand using the below five keywords and the five keywords I'm using our men's denim jackets women's denim jackets blue denim jackets black denim jackets and oversized denim jackets so let's say through some uh search engine analytics I have understood let's say from a refs or from semrush that these are the highest search volumes that I have for these five keywords and I want to utilize these five keywords in a particular blog that I'm writing within 200 words and you can see first of all it is giving me a title the denim Delight styling men's and women's denim jackets in blue black and oversight designs you can see that within the title itself it has used almost all the five keywords and then if you go and read this you will find all the five keywords over here and all those things are mentioned in a beautiful way in just 200 words and you can use this as it is on your website on your landing page and wherever you need it right so this will definitely bring in a lot of organic traffic and will improve visibility of your website on the search engine result page for any search engine be it Google Bing or Yahoo now let me ask Chad GPT to suggest me a few tips to make the above blog SEO friendly let's say it is SEO friendly by using these five keywords but I again want to use more and more keywords and I asked Chad GPT to suggest me a few tips to make the above blog more SEO friendly and here you go here are some tips to make the above log SEO friendly number one it is telling us to include Focus keywords then optimize meta tags then use headline tags or heading tags and then it is talking about create unique and high quality content add internal and external link optimize image all text then use schema markup and promote social sharing now these are some of the things that it has mentioned now let me pick up this one particular point that optimizing meta tags let me ask chat GPT to actually suggest me meta title and description for the above blog so if I type in the query can you suggest me meta title and description for the above blog definitely that will help me get more visibility to my particular blog it gives me a meta title saying denim jackets for men and women Style and trendy collection your clothing brand name now meta description explore our stylish collection of denim jackets for men and women from classic blue denim jackets to trendy black and oversized Styles this and this clothing brand name offers a wide range of fashionable denim jackets discover the latest trends in denim fashion and elevate your wardrobe with our high quality and stylish denim jackets shop now and stay fashionable with this and this clothing brand name now this is a great example for a meta title and meta description now if you make it more crisp you want to make it more engaging you want to make it more shorter you can do all of that by putting in the right input now let me ask chat GPT for one particular specific example let's say I am a travel blogger and I want to ask Chad GPT if it can give me ideas for meta titles and descriptions for my new blog on let's say one specific topic and I choose the topic top 10 places to visit in Dubai so if I'm a travel blogger and I have written a Blog on top 10 places to visit in Dubai How can I get some meta titles and meta descriptions for my new blog let me ask J GPT the same question and see what are the results we can get and here you go chat GPT never disappoints us you can see that here are some suggestions for meta titles and descriptions for your travel blog on the top 10 places to visit in Dubai meta Title One Dubai travel guide top 10 places to visit in the glittering City your travel blog name and then it is giving us a meta description then it is giving more variations it is giving us one more Title One More description saying dreaming of visiting Dubai check out our top 10 pics of mustsee and must experience places in this world renowned City from stunning Skys scrapers to Luxury Resorts through traditional markets and thrilling activities this in this travel blog name has got you covered and you can definitely use this as it is or can make changes as per your website name or as per your requirements as a travel blogger now let me take one more specific example so let's say I asked Chad GP that I am the owner of an ethnic clothing brand and I want to create a YouTube video targeted at individuals in the age group of 25 to 45 years can you suggest me a video script of let's say 200 or let's say 500 words for advertising my latest product collection of ethnic jackets highlighting the use of eco-friendly materials and minimum wastage throughout the production process so let's see what are the results we can get so as you can see over here that I'm very specific with my input first of all I'm talking about ethnic clothing brand then I'm specifically talking about my lat product collection which is of ethnic jackets I'm planning to Target 25 to 45 years age group then I'm talking about asking for a video script and I'm precising the words that is 500 Words I also wanted to highlight the use of eco-friendly materials and minimum wastage throughout the production process and it is giving me an amazing script as you can see on your screen it is talking about not just testimonials and voice over but also telling me in Brackets that what exactly we can do what exactly we can show on the screen for example video starts with an attractive visual of one of your ethnic jacket being worn by a model upbeat music plays in the background it is giving a suggestions for music and then it is giving us voiceover that introducing the latest collection for your brand name ethnic jackets made with love and care and crafting using eco-friendly materials and these jackets are not just stylish but also sustainable now it is highlighting all the points that I asked it to for example I talked about highlighting the use of eco-friendly materials and minimum wastage throughout the production process and it is picking up hint from that particular question and giving us a result which is very very specific to my need now let me ask chat GPT if it can also assist me in crafting a compelling YouTube video description that will attract viewers to my video now when I have a YouTube video that is one thing but to get more and more visibility for that video it is extremely important that I have a catchy title for that YouTube video and I also have a video description which is SEO friendly so that it can rank better on the search page now that is extremely important and let me take the help of chat GPT so let me type in the query that can you also assist me in crafting a compelling YouTube video description that will attract viewers to my video Let's see what are the results we can get and here you go certainly here's an example of a compelling video description for your ethnic clothing brands video on promoting your latest collection of eco-friendly ethnic jackets welcome to this and this brand video name in this video we are excited to showcase our latest collection of ethnic jackets made with eco-friendly materials and minimal wastage in our production process join us in our mission to create sustainable fashion that's not just stylish but also good for the planet in this video you'll discover the unique features and you can see all the important details are mention over here in a very good way and it is also giving ideas for video tags now let's say we want to get ideas for YouTube tags as well so let me ask Chad GPT to suggest a few relevant tags that I can use for my YouTube video to improve its visibility and discoverability let's see what are the results we can get and here you go here are some relevant tags that you can use for your YouTube video on promoting your ethnic clothing brands collection of eco-friendly ethnic jackets ethnic jackets to eco-friendly clothing to minimal wastage to ethnic wear to fashion tips all those are different tags that we can definitely use and will help us gain more and more visibility and discoverability for our particular YouTube video in this particular case we have taken the example of ethnic CL brand but for any particular business for any particular case you can provide a situation be precise with your input and it will come up with ideas that will completely blow your mind and now it is time for us to ask chat GPT if it can give us some keywords that we can use in our video title now the third thing first of all we asked it to create a script once we have the script once we have the video ready then we have the video description we ask chat jpt to create a video description and give us ideas for YouTube tags all of that is done but what one of the most important things when we talk about YouTube or YouTube videos rather is the YouTube title the video title now let me ask chat GPT if it can give me keywords that I can use in my video title to make it more discoverable by the target audience and here you go here are some keywords that you can consider using in your YouTube video title to make it more discoverable by your target audience ethnic jackets to eco-friendly clothing to sustainable fashion to eco-conscious Fashion to responsible sourcing to sustain able style all these are great examples of keywords that can definitely be used in the video title but let's say you still haven't figured out that what exactly will be the final title for your YouTube video well who's better than Chad GP let's ask Chad GPT if it can give us examples of some catchy SEO friendly YouTube titles for the video Let's Ask chat GPT to give us examples of some catchy SEO friendly titles for the particular YouTube video that we just talked about and here you go here are some examples for the SEO friendly titles for the YouTube video ethnic jacket stylish and sustainable fashion for 2023 or eco friendly ethnic wear the latest collection of ethical jackets or minimal wastage maximum style eco-friendly ethnic jackets these are some great examples for the titles of a YouTube video definitely these are catchy these are using the keywords that we wanted to use and it will really help us in getting more and more discoverability and visibility whenever somebody will search something related to these things on YouTube so that's how we can use and Leverage The Power of AI when it comes to uh creating YouTube videos or search engine optimization in general now we have understood that fqs are extremely important when it comes to SEO let's ask Chad GPT to suggest a few fqs related to the denim jackets once it will suggest us the frequently asked questions let's also ask to provide the answers to those frequently asked questions and here you go so if I ask Chad GPD to suggest a few FAQs related to denim jackets and please Prov to answers to those questions as well it gives me are denim jackets suitable for both men and women the answer is yes denim jackets are versatile in Timeless clothing you can see that all these are different examples of fqs first of all it is giving us a question and then it is providing a crisp answer to the same and definitely these can be used as it is on the landing page of a website and it can definitely increase its credibility in terms of getting more and more attraction to that particular page and it will definitely help the website or the web page P to rank better on the search engine result page now last thing that we are going to ask chat GPT or take chat gpt's help is to generate schema markup for let's say one particular FAQ so if I take let's say this particular FAQ I copy paste the same and I ask chat GPT to give me the schema markup or generate schema markup for the same let's see what is the result we can expect and here you go so if I ask chat GPT to generate schema markup for the below FAQ and I had taken one FAQ from the one that chat GPT has given us it is is giving us the example of the schema markup in the below format and definitely we can use this as it is whenever we want please note that schema markup is a form of structured data that helps search engines understand the content of a web page better this is something that we have already discussed so definitely it can be again a huge help by chat GPT when it comes to search engine optimization so in this particular module we have understood that not just in content Creation in general chat GPT can help us create content which is SEO friendly be it in terms of generating schema markup for an FAQ or for some product review or product description or in general let's say you want to create a product description with some features and benefits or you want to create an entire blog and you want to specify the number of words you want to use the keywords you want to get ideas for related keywords you want to create a keywords related to particular search intent all those different areas of search engine optimization can be covered with the help of chat GPT in just a matter of seconds so now that is precisely how you use the power of AI especially chat GPT when it comes to SEO and now it is time for you to go to chat GP sign up quickly and see how exactly you can find the relevant keywords for the blog or let's say the article that you are writing or maybe in general let's say you want to create some SEO titles or catchy descriptions or meta descriptions or let's say you are a vlogger on YouTube and you want to get some YouTube tags all those different areas will definitely you will be getting some help from chat GPT so go to chat GPT and explore it on your own to add some facts and statistics and figures to that and chat GP can do that for you without much of research and within a matter of seconds then paraphrasing if you want to rephrase a few sentences change the tone change the style of it the formatting of it all of that can also be done with the help of chat GPT then internal linking that you can link the content and create like a web page and definitely help in your SEO as well then keyword optimization and outlining the blogs and uh articles all of that can easily be done so if you want to get like what are the different topics you will be covering in one particular blog you want to get an outline of the same that can be done with the help of chat GPT it is time for us to go visit chat GPT and see how exactly it is going to help us in all these different areas that we just discussed so let me ask chat GP that give me a list of topics I can write a blog about around let's say personal finance if I pick up that particular topic of personal finance let's see what exactly are the list of topics that it is going to suggest us and here you go here are some topics related to personal finance that you can consider for your blog or for your article budgeting 101 tips for creating and maintaining a personal budget to tax planning maximizing your savings and minimizing your tax liability or financial goal setting to Smart money habits these are some of the topics that it has suggested us now if we want let's say more topics we can again put in the query can you suggest some more topics like the same it can give us 10 20 30 40 more topics topics depending upon your needs now let me ask Chad GPT to suggest a catchy SEO friendly blog title for each of these topics it has already given us some titles but now let me ask more catchy titles or more engaging titles and let's see what exactly we can expect so if I type in the query suggest a catchy more SEO friendly blog title for each of these topics here you go mastering your money the ultimate budgeting 101 guide for personal finance success it is using more keywords and definitely it it will help help us getting more discoverability and visibility on the search engine result page like Google now it is time for us to actually get ideas related to keywords so let me ask Chad GP if it can give me a few keywords related to personal finance let's see what are results we can expect and here you go certainly here are some keywords related to personal finance personal finance Financial budgeting financial planning savings investing retirement planning Credit Management to expense tracking to Financial habits and financial Wellness these are some 20 keywords which are given to us that definitely we can use in creating a Blog let's say we want to create a 250 words blog using all the above mentioned keywords can Chad GPD do that for us let's explore so if I type in the query create a 250 words blog using all the above mentioned keywords so it is first of all giving us a title saying mastering personal finance essential tips for financial success then it is giving us an intro body and it is using all the keywords which are mentioned over here so if you go and search you will find all the 20 keywords which are embedded in this content given to us by chat GPT in just 250 words as we have mentioned over here so you can see that this is a great example starting from giving us an intro to a body to an actual conclusion it is really helping us dividing the body into five topics from financial planning saving and investing to retirement planning to credit and debt management to tax planning and then giving us conclusion it is also giving us a few keywords which can again be used and giving us more and more suggestions related to the same so these are some great ideas that we can definitely use when we are talking about blog writing let me give a very specific situation to check GPT and see how it can help us there so let's say if I say that I am writing a Blog on affiliate marketing can you suggest me an outline for the blog now I don't want the blog I don't want keyword ideas all I want is suggestion for an outline and how I can go about writing content on affiliate marketing so if I type in the query I'm writing a Blog on affiliate marketing can you suggest me an outline for the blog here it goes here's an outline for blog on affiliate marketing first of all it's introduction to affiliate marketing there are three things then how affiliate marketing works then getting started with affiliate marketing then strategies for successful affiliate marketing and it is giving us what exactly to cover in each of these topics from Best Practices to conclusion challenges and solutions all these are different areas and outlines that we can cover in our blog or in our article so again it is helping us in a big way now let me ask chat GP to actually create a meta title and description for the above blog let's say I write a blog on the same and now I want to get ideas for meta title and description for the same blog let's see how chat GP can help us there here you go meta title mastering affiliate marketing strategies tips and best practices for Success it is giving us a meta description learn how to excel in the world of affiliate marketing with our comprehensive blog but let's say you feel that the meta description is too long and you want something which is very very short and which is very very engaging so let's chat GPT to actually trim it down and then give us something which is less than or is equal to 50 words so if I type in the query that can you trim down the meta description to 50 words or less and it has done it meta description which is shorten that is discover effective strategies tips and best practices for mastering affiliate marketing learn how to optimize your campaigns and Achieve success in the world of affiliate marketing with our expert insights so that's a great way how we can use chat GPD so in this module we have learned that we can use use chat GPT not just in crafting content not just in creating content but also making it SEO friendly using the keyword suggesting titles for meta descriptions Etc so these are some of the ways how we can Leverage The Power of AI when we are actually creating content it will not only help us in creating high quality content but it will also help us in ranking much better on the search engine result pages so in this module let's talk about the various elements of digital marketing now I will be making sure that uh all these elements that I'm talking about here in this particular slide will be done in a manner with the help of charb to make your understanding of digital marketing a lot better right we we'll try to understand the various concept through through chat GPT you'll understand the various types and elements that digital marketing have so let's start with the understanding what are the various elements let's just have a brief so number one is content marketing then is search engine optimization paperclick social media marketing email marketing and affiliate marketing I'm very sure that you would have heard almost all these elements by now because at this age it's a digital digital age and these are pretty common uh topics that we hear about here and there right so let's just dive deep into what these individual aspects are so uh the first element that we're talking about is content marketing now content marketing is a strategic marketing approach focused on creating and distributing valuable relevant and consistent content to attract and retain a target audience now the goal of content marketing is to provide useful information or entertainment to potential customers establishing the trust and credibility right so this is the main core components of content marketing when you're creating content you want your end users to gain some valuable information or may be it for an entertainment purpose right you see you see a lot of YouTube channel channels that maybe they are uh the genre would be food maybe it would be travel maybe it would be comedy maybe it would be standup shows maybe a lot lot more things maybe it would be a meme channel so you have a lot of uh lot of things that revolve lot of themes to pick up from right but you want at the end that content to be viewed by a lot of people around right so for that digital marketing plays a crucial role how you place your content maybe it is it depends on the timing of when you post it maybe it depends on a lot of different factors right maybe the keywords that you use the optimization of those keywords right the search volumes of those keywords right so all these things uh take a very very important role maybe you would have seen reals that are coming up these days right the song that you pick up that is also very very crucial in making uh your content visible yeah your brand identity to be visible to a lot more people right so this can be done through various channels like blog posts maybe it would be articles that you write videos maybe the podcast now podcasts are something that have been growing recently right A lot of people do not have that kind of time to you know sit and watch a YouTube video of two people talking so what do they do they they just uh hear the the podcast that comes up now that is also something that is really trending then social media and lot Moree the second element that is there is search engine optimization and this is the my this is my favorite of the lot now search engine optimization refers to the process of improving right is is the process of improving a website's visibility right if you have a brand let's say a clothing brand right so you would have a website that would be there now you would want anyone who would want to search that website right or maybe search your brand right they would just go to the search engine and type your brand let's say you have XYZ as a brand so they would just type in XYZ now what would happened is that Google would give you results and now as a brand what you want is that your website your Brand's website should be placed at the top right that is what it is now as a consumer of of internet right this may be a a habit or you would have known that whenever you search for anything on Google you would not go past the first page of Google right first page is also a lot that I'm talking about you won't go more than five or six top links that come up right so this is the same way now from a Brand's perspective they want to Target that first five websites because because they know that these are the ones that would be clicked by the customers a lot now search engine optimization is exactly that what helps you organically place your website at the top right so it is a process of improving a websites visibility ranking in the search engine results page which is also known as seps it involves optimizing the various elements of a website including the content the keywords The Meta tags the bank links to make it more attractive to the search engines now the goal of SEO that is search engine optimization is to increase the organic traffic what does organic means it is non-paid traffic right I'm not paying anything to Google to place my website at the top right by improving the search engine rankings for Relevant keywords and phrases now I'll give you a bit of demo what exactly I'm talking about right so uh let's just uh type in google.in and we'll we'll search something right let's just say uh English course right these are generally the things that we talk about let's say English course online now I click on it right now these are the websites that Google show show me right so now what do I want what do as a consumer I would click I would click the first websites that come up now you would see there's something known as sponsored that is written here right now these are the ones that these particular website have paid Google to rank them on the top right they have paid x amount to make sure that their website is shown right so this is not organic this is not SEO right this is sem search engine marketing where the companies pay Google to rank them on the top but when you move down there you can see that that the websites that do not have the sponsored tag written on them right these are the ones that are organically on the top that they have not paid anything to Google basically so this is what every brand aims for that organically without giving money to Google if it can show up at the top that's what every brand aims for so this is basically the way the the procedures that are involved maybe the keywords longtail short tail keywords lot of different elements if they can get that website to rank using these strategies right how you write that this meta tags and all that how do you use keywords right see English course online so English course and online all three are keywords now how much they have placed those keywords how they have clubbed it together so all that matters so this is search engine optimization then is paperclick now paperclick is an online advertising model in which the advertis pay a fee each time their ad is clicked so it is typically used in search engine advertising where the advertisers bid on the keywords relevant to the target audience so a real time bidding happens in this scenario right when a user searches for a keyword the search engine displays relevant ads and the advertisers pay for each click their ad receives now payperclick campaigns can be highly targeted and allowing the advertisers to reach a specific audience and measure the effectiveness of their ads then is social media marketing so social media marketing involves social media platforms such as Facebook Instagram Twitter and lot more a lot of things LinkedIn are coming up these days right so all of these are present to promote what their product their service or they increase their Brand's visibility right so it involves creating and sharing various content now if you would have seen uh a lot of uh lot of Brands these days use use the current Buzz words right Buzz news that are coming up to make a meme out of it and integrate into their channel right you can lot of different brands have this online right so the meme marketing has has increased quite a lot right so with now what what would happen now the social media marketers aims to increase the brand awareness Drive the website traffic right they want to create that funnel in which top of the funnel you get more and more people to just click on that first first bit right the first phase in which the consumer interacts with the brand right generate the leads and Foster that consumer loyalty by leveraging the wide user base that is present right online digital space is the space in which you not have to now the competition is a lot more but you really do not have to you know pay a lot of money to get in that space right if you know your content is unique it stands out it is not repetitive then you have a chance to stand out right so this is about social media marketing then another thing that that all the marketers these days all the brands these days focus on is called email marketing now email marketing is the digital marketing strategy that involves sending targeted emails right now you've seen most of your emails that you receive are very specific right are they very you know tailor made for you it seems as if that they know about your life and they have tailor made that thing maybe you're searching let's say a uh some clothes online right now that clothes will be showed to you on N number of things and you would also receive an targeted email regarding that right hey XYZ you were looking for for the brand you're looking for this right why did you end why did you left the left it in the cart so all these would be placed right all these emails you know catchy emails would be there for you so all this is comes under the targeted email strategy that these Brands you know play so it is commonly used to communicate with the customers promote the services or you know provide updates on newsletters build that customer relationship now effective email marketing involves segmenting the audience crafting that compelling email content right the the words that you like now I I'll also show you how to write that using chargeability you can make it much more innovative but at the end the the main core of the message that is what you have to provide right personalizing those messages optimizing for delivery and engagement it can be efficient coste effective way to reach out at the specific audience that is present and drive those convergence so these the these are the major elements that are there in email marketing the end part is the affiliate marketing now so it's a performance-based marketing right it's a model where where individuals earn a commission by promoting and driving sales of a company or or a product right so it's like a chain based model it's a pyramid model so all these comes under the the affiliate marketing strategies right so affiliate typically receives a unique tracking link so you can promote the product various channels using the website blogs social media both using so it's the involvement it's not just the brand that is selling the products it's like individual customers also trying their best to sell the products in order to gain their personal advantage or to gain money so that is how affiliate marketing works so it's it's like a chain model it's like a pyramid model in which it keeps on going and going and going there's no stop to it so that's affiliate marketing now let's try to understand the first element that is Market segmentation now how we will go through chat gbt is that I'll take a example of a hypothetical situation let's say that I have no clue about what digital marketing is now I want to start company a brand a clothing brand probably uh let's say traditional somewhat about traditional Indian wear now I want uh to understand the key principles of digital marketing and how can I can enhance my brand right how I can explore my brand how can I find more things that in a digital way would catch uh catch up right which what would that mean that would mean that my brand would grow organically in a digital space now I would heavily need digital marketing because I'm not going and setting up a store or maybe if I want to then I can just ask him what are the things that are required but in a nutshell I would want to launch my brand online and I would have a lot of elements involved that the questions I would be asking is about about my brand okay so let's get started so let's start with a fresh window so this is the fresh window now let me type in my first query right so I would say test me names for a clothing brand that focuses on traditional Indian wear now the way you structure your question is also very important now I'm asking it suggest me names for a clothing brand that focuses on traditional Indian we now I would additionally add to this is that uh add make sure it stands out in the digital space right so now the first problem that I'll type is suggest me the names for clothing brand that focuses on the traditional Indian wear make sure it stands out in the digital space now I want the the way you structure your prompt is also very essential right now I have focused here on traditional Indian wear and a clothing brand right so it knows what it is then I've additionally added that make sure it stands out in the digital space right so let's see what it suggests right so now I have made sure that it stands out in the digital space so it is going giving me some of the other options right so it is giving me 20 of such words that I can name as my brand right so it is Indian glow Heritage threads right so it knows that India has a bit of Heritage involved right so it has added that thing so it has that data involved right as I mentioned that it has been trained on a lot of data right till September 2021 so it knows what exactly Indian tradition means right so it has that sanskriti style let's say Indian Aura cultural Elegance winage Bazar so Bazar is a very Hindi word right so it has included that thing to give me a good you know structure to the to the name that I want to give it to to the brand that I'm launching right so it also knows that in India aan is a state that has a lot of history involved in it right so it has also given me Rajasthan Royals right it is also an IPL team though but something of that sort right so it is giving me a various you know I I get to choose it right or I can just make I can also in in addition if I do not like this I can just add in tell me more historic words words that I can choose from okay so I'm just giving in the okay yeah so now it has given me so I've asked him to give me more historic words that and I can add into it right now it has given me a lot of words that are there right historic words Maharaja naab that gives the the the Elegance to the Indian Heritage right it would it would add into that so I can use these words in the names that it has been suggested Ted now I can additionally write add these names and suggest me the brand names that I can keep right so I have added this now just say that now exactly what happened right so it added the second prompt right now I as I told you before that it has the memory of its own right so the second prompt that I added Maharaja now it has included in the first one and it has added those words Maharaja naab mugul rajput Zari so it has added this words and made made a made a name out of now I can choose it in a much better way so this is the level of customization that AI can give you now you do not need to think about for days and days what to name a brand you can get it from here you can customize it over here that's the beauty of chart GPT right now in addition to this if I am very you know Niche person and I just want I let's say my favorite letter is r and I want to keep my Brand's name from the letter R so what do I do I just ask it you know can you suggest me names that start with the letter R very Frank way yeah so let's just see what what comes up right so now it has given me words that that are that starts from the letter r in a more Indian historic manner right so I don't need to type in again that okay tell me in the traditional manner in Indian Heritage manner something it would understand or so that's that's what I'm talking about when it has the memory of its own now if the name is sorted out okay if let's say I've chosen one word right so if I've let's say just taken up one random one Raj Darbar let's just say that I've named my brand Raj Darbar so I would add list down a few catchy taglines for the brand right so let's just see what it comes up with so it has given me a lot of different lot of variety right probably we would end up if if my vocabulary is not good I'm a lay man of digital marketing I would not understand the way things the taglines work right I may be not that creative to write down tag lines maybe you have to hire hire a third party individual to do that right so it cuts down on the cost that is required right to to for you to just start off with your brand now it has given me fabulous fabulous results like embrace the color of tradition right where Heritage meets fashion right what a fabulous tagline where Heritage meets fashion unve your ethnic charm right so all these different types of taglines are there now you can choose it from here now if I want to add more customization in this as well I can do that of course so now my brand title is fixed my brand name is fixed brand tag tagline is fixed now what next to do right now the next thing is to find out your Tam that is total addressable market so in general I'll just ask it what would be the target audience online considering the brand only sells to the online websites and caters to the Indian market right so now I don't have to think that okay if the European market or maybe the North American Market maybe an Australian Market want to cover it up I I'm just focused on selling this this through an online website in India so what would be the target audience right and considering that it's a historical brand so let's just see what what uh Char gives us yeah so as we can see that uh Char has given me that considering that your brand sells exclusively through the online websites and caters specifically to the Indian market the target audience would be Urban Indians number one why has given me the reason as well individuals residing in urban areas would have access to the internet and interested in purchasing the traditional Indian wear online fashion conscious Indians people who would actively follow fashion trends and seek stylish Contemporary Indian clothing options okay one thing that I've not added in my prompt is that how do I want my brand to be what is it like a modern ethnic or is it like a traditional purely historical purely the one that does not include a lot of fancy stuff right you would have the Heritage one right so that I have not added in in the detailing if if I would have added it would have given me a much more Niche answer so exactly how you structure your question also resembles to how you want your brand to be right so Millennials and genz so younger Generations would who are techsavvy digitally connected and open to exploring online shopping experiences right so nris would be the ones who who would want to buy fora India because if they want it they can get it for someone who is residing the families inside India so they can get it for them now so all these flashing bloggers and influencers so you you would know okay you would get a fair bit of idea you of course have to do your own research on how you're selling how you're not but it would give you the idea to start from right now if I know now I if I want to start online can I cater to tier2 tier three cities directly or should I focus heavily on tier one first get my servers in in the in tier one right so that is the idea that it would give me which is fabulous so in this uh module let's talk about social media marketing let's look at the different elements of social media that are popular these days be it Facebook be it Instagram be it let's say Pinterest be be the things that are heavily used by the consumers so let's focus on how to market the product there right so let's just go and type in our first prompt in that regard so now let me ask charp what are the ways to generate the most leads and Impressions on Facebook social media platform right I'll show that for my brand right let's see what what CH GPD gives us now if I have to ask the chart GPT right the most leads and impression so it will give me the various strategies that I can incorporate right to generate leads and Impressions so they have given me the answer to generate leads and impression on Facebook social media platform here are some effective strategies you can Implement right compelling content create engaging and Visually appealing content so if if my is traditional wear which it has given me high quality images videos informative post right unique features right so it also talks about how to highlight the unique features like let's say if I'm in giving uh let's say selling a s right it can be a different different type of it can be a banari sari right it can be a variety of sis I'm not a sar expert but so the the reason why this would give uh me this uh kind of thing is that I would want to highlight it in the description if I'm giving if I'm posting let's say a post about the s that that my brand makes so I would give them okay this is the craftsmanship that is required it is handmade it has various elements to it the color is is is unique in that regard so so all these appealing things the features the cultural significance right how the historic what is historic in that traditional wear right who used to wear it in in the past in the history so the story line should be compelling enough so that is what it is telling me then targeted uh advertising utilize the Facebook Advanced targeting options to reach a specific audience Define the Target demographic based on your location age interest so now it is telling me that be targeted in your camp right if you want a specific product line of your brand to be focused on on one specific demography let's say be it people in the range of 60 to let's say 70 you would want to know their interests right you would want to know what they would like what that generation would like right what would be the significance of that and and and you know Foster to that that needs because at the end consumer comes to the core of the business that you're doing right now running the Facebook ads now if I didn't not ask it that give me the the ways organic ways if I would have asked it would have not given me the ads option in which I would have to spend money right so you have to be very careful in in writing these things it is good that I know that Facebook ads now I can I can pay uh for the ads to be displayed right I could spend my marketing budget in that in that regard then influence collaborations I can you know there lot of budding influencers these days I could just partner with them collaborate with them on this regard give them maybe uh a free free bees of some some sort and get get them on board with with collaborating some of the other contents to basically have that Outreach the Brand's Outreach the Brand's visibility to the audience that they would have right the influences would have so that would be the now contests and giveaways live videos behind the scenes so these are the things you can work on uh Facebook groups in community you build a group or be a part of group that deals in that genre of things right then testimonials right these are various the reviews that you post on on on your website right you're building a website or you building your your Facebook channel right so you would want your testimonies the customer experiences to be displayed for any new person if you go right let's say if you exploring let's say even a restaurant right if you go you you read the reviews is it good or enough maybe on swiy maybe on zamato maybe on Google Maps right you you would know you would want to know what the reviews are right so then you would want to engage with the followers retarget you know implement the fix Facebook fixels on your on your website to track your behavior now whatever they have mentioned here right I can cross question them what does this mean how does to implement this how to start with Facebook groups and communities right how to engage more effectively with followers give me the step-by-step analysis I can absolutely ask jity anything and everything that I want to make my brand visible that's the Target right so now if I want to optimize a lot of things let's just type in one query right one prompt that list out the ways to optimize a clothing brands Facebook page what are the elements that a page would have a Facebook page would have right so let's just see what what do they answer okay so what it is displaying means that to optimize a clothing Brand's Facebook page has some key strategies in the best practices complete Page information ensure that all the necessary information about your clothing brand is filled out completely and accurately this includes your brand name contact details website links business SS and a compelling and a concise description of your brand then it would be the cover photo and profile page so it's giving me a step by step things that I have to do right consistent branding compelling about about section right the about section in the page should be crafted engaging about how clearly it communicates the Brand's Story Mission and unique selling price so if for a lay man the these terms may be a very fancy terms to look at but at the end if you want to gain that knowledge and want to implement it right I may be a let's say software developer but I I would not know much about how the digital marketing space works I would have to hire a person and this is giving me all that in free most of it right I can't say I I wouldn't say that it can replace a digital marketer it would still still give you a sense of things what you need to work on right the base of what you need to work on right so if you are starting out right everybody these days maybe want to be an entrepreneur so if you want to do that thing if you want to go in that regard this is the perfect way to start to get to know things right it can be I'm not saying it is accurate I'm not saying it's 100% correct I'm saying that most of the things that you would want you would get it over here 80% you have to of course fact check it and and cross verify a lot of things but 80% of your job would be if you if you want to apply the ptos principle the 20% things that would give you 80% of this is that 20% that you want to focus on right so it would give you that that thing the little thing that would give you maximum output so this is how you would want to you know ask it get that query straight get that thing straight what you want for your particular brand right now I can also ask you that what are the most effective Rays right we we talked about the Facebook ads that it displayed me now if I want to ask it in that regard what are the most effective ways to run targeted Facebook ads for the marketing of a clothing brand now what would it give me right it would give me that Define the target audience you know we we already talked about what the target audience would be then custom audience how how would the the location of that targeting would be right ad creative visuals compelling ads and call to actions how to incl include those uh call to action AB testing AB testing is we'll talk about in in the email marketing section I'll talk about what these are but basically they have given that to experiment on the various ad variations that I want to you know uh roll out right so I can just have an ad test and rather than spending my marketing money in in in fully fledged campaign I can just AB test I can just test it out if it is working or not if it is working then I'll roll it out if not then I won't so simple as that then optimization and Analysis you know continuously monitoring the performance of the Facebook ads then tracking the key Matrix like reach engagement click through race conversion so all that things can be done for for the brand that I'm targeting so now what would happen if I want to know about about let's say Instagram right you would have a lot of hashtags that are there right so if I want to outreach my brand to the level in which uh is clearly visible every third person may heard of the name of my brand so hashtags would be a perfect way to start with right reals hashtags right so since it's it's it cannot it can give me real ideas by the way so we can also run something on that regard but if I want to add the search volume hashtags that are there right for a clothing brand to enhance my outre on on another social media platform called Instagram so let me see what what it gives me right so it knows that what would be the most trending so what is search volume so it's basically uh the thing that the most people searched on on a search engine right so that volume how much people are are searching that fashion is number one the keyword fashion comes number one so these are the things that I want to include in my brand when I when when I'm posting out uh an insta post a Facebook post or something on that on a social media platform I would want that these hashtags are there in that post now this would give me a wide wide you know consumer base on or or maybe the visibility a lot of people would probably see that because of the hashtags use so this is why it is using hashtags is important now I would want to get my brand uh if I I want to make a Content calendar right what I have to post on these social media platforms right so maybe I'll make a 30-day calendar maybe I'll make a 15-day calendar so I want to know what what are the various captions I can put in those particular post on every day let's say uh 15 days from now I'm going going to post about uh let's say a fashion line that I'm going to introduce right a new product line that I'm going to introduce so how would that work that I'll just ask it can you suggest some mind-blowing captions for creating posts on Instagram regarding the traditional wear right so it would give me the various captions that I can use now what I would do is I would look at these I would ask them to generate more I would look at these I'll open up my Excel I'll just you know write it down and make a calendar out of it okay on 16th of August 15th of August 17th of August these are the things this is what I'm going to post this is the caption of that post so this is how you make a Content calendar especially if you want to be a content creator or if you want to you know optimize how you want to you roll out your post on social medias this is the perfect way you can just get those ideas get started with it it may also be a scenario in which you want to create a campaign right campaign Market Mar plan for the clothing brand for the upcoming new year so new year is like a festive season so the rush the the number of orders you would be getting as a brand would be lot more right so festive Seasons get a lot more orders right so you have to be prepared for that as well right so and also how the digital marketing plan would be for your brand right so if I want to ask it create a digital marketing plan for my clothing brand for the upcoming new year right so this would give me an idea of what needs to be done way before uh New Year comes right so it gives me that okay I need to engage with my audience in marketing searching optimization customer res you these are the things that I need to focus on right so it gives you this is the plan that I need to work around with now I can be much more Niche and ask them much more different questions regarding to what they have asked or I can just build it up from where how I want it to build right now since our target audience uh is in India right we we mentioned that the demography that uh the the the scape that we'll be targeting is is in India so the the Festival Key Festival in India let's say uh just take a random guess would be either Eid or Diwali or or or a lot of different festivals that come up right so let's just take an example of Diwali and let's say write a gratitude letter to be sent to a regular customers on Diwali right that I bought my traditional wear right now I want to also because I want to retain those customers right I want them to keep shopping from my brand so I would want them to now this is what chpd is based at right it gives it makes tailor made letters to customers as well if you know what that customer is so it would give me a well-written letter out of it so let's just read it out Dear valued customer on this joyous occasion of Diwali we wanted to make take a moment to express a heartfelt gratitude for the continued support of us and as the as the Festival of Lies your loyalty and Trust in the clo clothing brand then you can talk about it is because the customers like you that we are inspired to continuously innovate and strive for excellence now what this is doing is also giving a feedback of digital marketing in this right it would also refine the way the customer perceives us right if you receive a tailor made let's say a tailor made gratitude later for being a regular customer that would also create that kind of bond between the brand and the consumer that's exactly what what it needs to be so now it has made now if I want to I don't want this I want something else I don't want same to be sent I can regenerate response right now this is a fairly shorter prompt but you can also add customizations to it right you can in fact you can add customization for each if you're starting out you would have a lot lesser uh lesser customers that you engage in so you can also have much more tailor made gratitude letters for them if you know how they order what are their fashion SES then this can be done as well right so if I regenerate response I would get okay so I could view the one that is here so if 2 by two it shows here I can go back I see the First Response the second response right so this is what wishing radiant and a dis Diwali so all these things can be done on chbt you would not need to hire uh an external person so consider this as an AI assistant that would help you as as as a a a digital marketing right okay in this module let's try to understand what are the various ways in which we can Implement email marketing using chat GPD right for exactly the same clothing brand so let's just type in our our prompt for uh suggesting me ways to create an email marketing campaign for my clothing brand now as a Layman I would not know what email marketing is right so think in that regard that I would have to give it's basically like how a baby learns ABCD if I'm talking about me learning email marketing so it will give me in that exact regard it would give me okay the steps right I did not ask for steps but it is telling me okay for some steps to create an email marketing campaign Define your campaign goals what do I want from it determine the objectives of your email marketing campaigns so the examples could be promoting a new collection announcing a sale or a special offer re-engaging with the inactive subscribers right so it is giving me all sort of these thoughts of how to think regarding email marketing right now build a email list now ensure that you have a well-maintained segmented email list capture the email addresses through your website social media in store signups and touch points right so it is giving me okay now if I would not know what a touch point is I would just ask him what does a touch point mean so it would give me okay the first element that a customer interacts with regarding your brand is a touch point right it clicks on that so that that that is what it is right then it will be a click through rate now it is choose an email marketing service now select a reliable marketing service provider that fits in your needs and budgets popular and M so it gives me the exact brands also right now please note that these may be outdated because the knowledge that it has is still 2021 I know that MailChimp is still very popular but in this regard when it is giving you options about some things that it gets from the internet you have to cross verify right so I would not really give this much more emphasis however I know as a marketer that MailChimp is very popular even for setting up your email campaigns AB testing and all but you have to do your research on what these elements are but it is giving you how to search email marketing service provider you can go and search which which one of these are good right get your research done then craft a compelling subject line now now this can be done by chart GPT you can ask chargeability to build a compelling subject line for for let's say any anything any personalized subject lines that you want if you're rolling out an offer a special offer on the occasion or different occasions that come up like laughter day you want something Indian traditional something of that sort right can go Define engaging email patterns use use visually appealing email templates using your Brand's Aesthetics in incorporate high quality images clear cdas right call to action buttons where do they click to get into the funnel right you want to build a marketing funnel how do you do that so you make sure that everybody comes to your top of the funnel right so all the links should be redirected to a website or somewhere in which it has the journey can be displayed right then the compelling content now create engaging and informative content that adds value to your subscribers inbox showcase new collections providing The Styling tips and all that right create call to actions AB testing we talked about experiment with different elements subject line visuals run this through it would it would save you a lot of money test variations to see what resonates then automation measure analysis so you can read about that right so this is how you would build up your email marketing campaign in a step-by-step manner now let's just talk list out some eye-catching subject line to grab customers attention for my brand right so if I give them let's say what what comes up let's see right exclusive offer inside now these are the things that you normally see as well right so now this is now you would not have to go and search around okay what what are my competitors doing what should I how should I look about it how should I set up my marketing campaigns right so now it has given me those subject lines to grab those attention as well right now limited time only you can have it right so I've added I catchy statement over here right so this is a keyword in the prompt that I'm providing it that that you know it has to be something that is very catchy because okay in in in a normal base it is only one or 2% that your emails would be even opened for that matter right so it has to be very very catchy in terms of the in terms of the subject lines right so you can give it a give it a look on which one is which seems more catchy to you you can add that in your ma gy in your a testing and test it out if it works so this is how you can add things now this is where charge is very good at that it can add a lot more things right so one other way what we can do is that let's just give it a scenario right could you write a cold email to persuade a potential customer who is interested in buying let's say a sar in a funky way right now I want that customer who probably has a s in their cart right they would sign up in the website they would have something in the card that you can track right so you could write a cold email to persuade that customer who is interested in buying a s in a funky way now let's just see what it gives it's a very very good structured uh question prompt right now it would give you a very you know customized number one thing is talking about India so it starts with Namaste or whatever so what resonates more you would write it down now we hope this email finds you in High Spirits and assist for embracing your Unique Style right we couldn't help but notice your interest in sis now you could also add that that customers who interested in buying SAR and has the SAR in their cart right you can add it in in the brackets it will understand so it will add that in this component of of the email that it is there right now subject light Unleash Your s s swag get funky with vibrant collection so it gives a a variety of different you know subject lines that that are very catchy right so you can build all that from here right again you would not need another digital marketer to do this you don't have to pay anyone else it just does it for you so another variation that we can think of is that if you could write a cold email from a clothing brand targeting elderly people right now they would not want that kind of funky things that s swag and all that was mentioned in the previous email so it would give me that Timeless Elegance for your young at heart discover a collection right so it wants to make the elderly feel that you're young it doesn't matter if you the number says it is Young at heart right so it has given me that kind it's such a beautiful such a fantastic thing to do right so this is the potential that chart GPD has it can structure your things in such a way that could also give you a very very good look your brand a very very good look right you can develop your brand identity through AI through Char gbd this is what this whole Crux is about whole Buzz how you can optimize now this is the moment in which you really want your brand to go ahead of others right you have to have that Blitz create you have to have that Blitz energy of giving them giving it a try giving charb a try giving digital marketing the way it can collaborate with the brand right that is very very important right it has given me this for for the elderly as well so you can have a lot of variations in it for absolutely every demographic way you want you can have it done through chat gbd now let's try to focus on the customer feedback right so if I have a and now I would I would want the customers to give me positive negative feedbacks of how my show me the reality of how my brand is is behaving how does it look like to to a normal customer to a custom unbi customer right so how does it look like right so we would understand to generate these customer feedback forms understand what goes into customer feedback now let's just type in our prompts so the first prompt that I would be asking is what are the different ways to take a customer feedback on a product they bought from our site now remember that I am a lay man in terms of digital marketing I have absolutely no clue what is happening in digital marketing domain so what would I need I would want chat gb2 to tell me that what are the different ways I can get that customer feedback right from the products that they have bought online right so let let's look at so the online survey now send out the online surveys to customers after they have made a purchase you can use tools like Survey Monkey or Google forms again do not look at this part because this may be outdated you can do your research on the tools that are there right then basically setting up a or online survey right number two is the email requests right reach out to the customers by email and request their feedback then it would be the product review right how do you have your product review done then it would be the feedback form right thank you Pages then the social media listening how to monitor your social media channels comments direct messages you know you need to reply to that if someone is Po in your post someone has mentioned that this is the Grievances that they had immediately post it post it that okay we have noted down your query please share your audit number with us we'll get back to you as soon as possible then follow back that's how you build a good brand good feedback customer feedback right then user testing you know how to conduct user testing sessions when you invite your customers to try out different products or features and provide feedback on the experiences right so that is what uh this is about right now that I have known okay these are the various ways ways in which I can gather that feedback from the customer now would want them to create me one right so I've added create a customer feedback form for the customers who have bought the products from our website right how would you build that right form so this would give me the exact Iden how to do that right now uh we greatly value your feedback appreciate your taking time to share your thoughts on the products order information this is what we would be providing order number this then product feedback how do you like it in maybe I would want them to add me a yes or no or maybe ratings from 1 to five so I can do that but different ways of parameters were you satisfied with the customer service throughout the process did your customer support team respond promptly to your inquiries or concern now just imagine that when you are starting out your company when you're starting out the company from the base you do not have a lot of capital involved to hire people right this becomes your ultimate guide this becomes your ultimate tool that would help you that is for free right so use this now this is much more as you can see that this is much more qualitative in right you do not have a rating scale involved in it now what if I just want them to I want to make me a rating scale as well right with the with more quantitative questions than qualitative questions then I would add can you use more quantitative questions in the above form because I want to quantify the results right now at the end I would have to analyze that data where in which field is is my brand lagging behind right based on the customers that that that that are there right so in this I will get certainly here's the updated version of form now you would also get one being the dissatisfied 10 mean the highest satisfied right I can also ask it to add more questions also let me try it out can you make the form in a table for MCH they just ask a doubt because it's very qualitative I can't really see it you've just added 1 to 10 how do I add it more right so now it has given me updated version of the table format right so it has given me in a much more table format right you can copy paste it add it into the rating scales right it would not it is not much more accurate in that regard but yeah it certainly does the work right now this this is a much more accurate way of of doing it rather than the previous one so this one looks much more clearer in that regard okay now if I want them to add more questions to it they would do that right now it has known that I want it in a table format it would again go back and and just make it in a table format I don't have to input that give it in a table format it already knows now right now if I have to change that then I have to give it a problem that please change this how to you know overall shopping experience user experience customer services recommendations right so all this thing is included in customer feedback let us discuss about applications of char GPT for financial services so we can use in various Financial Services okay the CH GPT we can use for any service that Financial Services we are going to get but in this we are going to disc discuss about Personal Finance Management we are going to discuss about investment strategies and portfolio management and then we are going to discuss about retirement planning and pension schemes and we are going to discuss about banking sector next Taxation and accounting practices and chat GPT in credit score and Credit Management so we'll see one by one this is the chat GPT how look in the your desktop correct so Ive already told you this chart GPT is like communication or how we are going to communicate with the other person see just I will give the input as hi so the chat GPD is going to response hello how can I assist today so here we can give whatever the questions are there or whatever the questions we need to ask for chat jpt we can ask here and it will like a text format it's going to give the answers so we'll start with the our Personal Finance Management so we'll ask first question how can I balance my shortterm and long-term Financial goal so this is very very important for an individual correct so we need to make a goal like first short-term and longterm so if you are earning 10,000 rupees as a salary it is an example okay so in the 10,000 how I can make short-term Financial goal and how can I make my long-term Financial goal so short-term goals for example this month what are the household expenses are there or this month I need to pay my son's educational fees or tuition fees or whatever the dancing class or whatever the other expenses are that are my short-term goals if I come for a long-term goal for example long-term goals like I need to purchase one motor vehicle or I need to purchase a car or I need to purchase one land and building so that are my long-term goals correct so how we need to plan so here are some suggestions are there so we'll see one by one so balancing short-term and long-term financial goals is an important part of financial planning so we need to segregate our first planning so which are our short-term goals or which are our long-term goal so after that but you need to plan okay so first set clear financial goals so financial goals is nothing but what is we need to achieve or what I need to get that is our goal correct so if I want to purchase bike after 2 years so that is my goal I need to purchase a bike that is long term shortterm I need to pay my son's educational fees that is the shortterm so first we need to set a clear financial goals that is our first step second prioritize your goals so in shortterm I already told you like pay the rent or pay the electricity bill or son's educational fees or whatever the household expenses are there or we need to purchase some cloths correct so in that we need to set a priority which is very necessity for us or which is very priority is there okay which are least priority is there so according to that we need to plan so first one house rent okay we need to pay rent correct so that is our first priority second one we need to pay electricity bill and third one is we need to pay Sun educational tuition fees correct that is also very priority or high priority so like that we need to make the priority which is the first second third priorities are there we need to set the priorities according to our goal and when it comes to longterm I need to purchase bike after 2 years correct so for that also I need to save some money for example in the 10,000 at least 10% of the value that is 1,000 rupees every month I need to save for my future goal or for my longterm goal that is how we need to plan next create a budget so you know the meaning of budget right so budget is nothing but it is the estimation of your inflow and outflow of cash so how much revenue or how much profit you are going to get for that particular month or particular year and how much I need to spend that is what is your expected expenses for that particular month or for the particular year so that you need to create a budget for your personal finance and the fourth one build an emergency fund so all your companies also they are going to keep the reservations that is reserves and surplus correct so why they are going to keep the reserves so we can't predict the future like how the covid hit correct so all the finance it may be for personal finance or companies everyone they're affected with this covid correct in that scenario we require some reserves okay so that is the reason as a individual as a person we need to make a reserve for our future okay whatever the uncertainities are there so what whatever the emergencies will be there so for that we need to create some money next save for retirement okay for example now I'm 28 years okay so at what age I can work up to 58 or 60 years correct so after 60 years what is my financial plans that is a big question correct so if you are going to earn now yes you are going to spend after 60 years who is going to spend or who is going to give money correct so for that we need to plan for our retirement also so in our retirement how we need to okay so consider a financial planner okay so this Char GPT work as a financial planner okay if you can ask a question so I'm going to just I will type a question here I'm earning of$ 10,000 rupees per month how can I plan for a year so if you ask this question so chart jpt will give you the suggestions so according to you whatever the earnings are there so you can ask as a adviser like Char GPT will give the advisory Services okay how you need to do or how you need to budget and how much you need to save so with this 10,000 earnings so how you need to plan or what are the steps you need to follow to achieve your goals or need to balance your budget with that Financial year so that will gives the steps if you have the debt or if you have the short-term borrowings long-term borrowings or debts are there so that will give all sort of suggestions or advisory functions by the chat GPT so whatever the questions you have you can ask that will gives the suggestions like a chat GPT will work as a advisory Services the next question I'm going to ask what are some strategies for reducing my expenses and increasing my incomes so if I want to increase my earnings or if I need to increase my income okay so what are the strategies are there so reducing expenses and increasing income are two key strategies so ultimately we need to reduce our expenses correct so if we reduce our expenses then we can increase our whatever the incomes for example if I as the last example 10,000 is my salary so in that 10,000 only I need to save more money so what are the strategies I need to do or what are the ways are there so in that first one create a budget reduce housing cost so that is unnecessary expenses sometimes what you are going going to do it is not required some extent it is not required but also what we are going to do we are going to invest my money or our money in that particular thing it may be purchasing of XYZ equipment or purchasing of luxury Furnitures or whatever the other things are there unnecessarily we are going to invest our money so that we can reduce that is in control of our hand only that is in the control LEL correct so on that time we can reduce the expenses so we can increase our income or increase our earnings or savings correct so that is one strategy next cut back on Transportation cost unnecessary traveling if required then only if you are going to go to that pleas otherwise sometimes what we are going to do unnecessary we are going to spend on the transportation if you're are using public service or your own transportation for own transportation also we need to spend on fuil and other things correct and public transportation also we need to pay for whatever the fair charges are there that we need to pay and we are going to spend money correct so we can reduce in this way also that is cut back on Transportation cost or if it is necessary instead of using your personal vehicles we can use our public transportation also so for example from a place to Z place if I want to go with my personal vehicle then I need to spend 1,000 rupees for the same a place to Z place if I use this public transportation then I can spend only 100 rupees so in this we can save 900 rupees correct so that is one strategy to reduce next shop smarter next cut back on eating out so whatever the outside foods reduce entertainment expenses so whatever the entertainment we are going to spend reduce on that so these are the few reducing expenses strategies chat GPT is going to suggest next what are the chat GPT suggest for increasing our incomes with this reducing expenses also we can save money other than that how we can increase our income so first one get higher paying jobs so we need to check which are the jobs are given more salary for our work and next start aside aals that consider starting a part-time business or freelancing to us additional income whenever the free times is there on that time whatever the feasible work or whatever the work we can do or we are good in that work so on that time we can do this freelancing rent out space or monetize your hobbies sell items you no longer needed so these are all the few strategies we can do and we can increase our income so these are all the suggestions given by the chat GPT for how to reduce our expenses and increase our incomes next how can I prioritize and manage my debt effectively everyone having this debt correct so either credit cards or loans personal loan educational loan or housing loan we are going to go through with this loans only or debts correct so how we can maintain effectively so here are few suggestions given by the CH GPT so first one list all your debts so first we need to leas the debts that is which are all the loan or whichever are the credit I have taken so first we need to make the list second prioritize your debts if for example I have a personal loan so first we need to look at the interest rates correct so if you want to go to taking a loan okay for whatever the reason okay so for that we need to check the interest rates as a common public we are going to do correct so if for example SBI is offering the loan HDFC is offering loan or any other Banks they are going to offer a loan correct so first we are going to check which bank is going to offer how much interest rates or which is offering for least rate of interest correct we are going to check and which is charging less processing charges everything we need to check correct so here also this CH AP is given the same strategy or suggestion so so first we need to prioritize your debts based on the interest rates and the balances correct so we need to check the which are all the I least interest rates are there okay according to that we need to prioritize and next make a plan develop a plan for paying of your debts so after that we need to prioritize or we need to make a plan of paying the debts or we need to redeem the debt or repayment of debts next negotiate with with creditors so creditors is nothing but one who gives the money or ones who given the products or services on the basis of credit creditors is nothing but for whom we Wes to others or Wes to other party that is the creditors so this creditors may be your Banker or any financial institution or private party okay so we need to negotiate with them okay if for example if the private person if they're going to offer a loan for 10% we are not going to accept for 10% correct so we need to negotiate at least for 8% that is the negotiate avoid taking on new debt so simply if you require money go for a loan that is also bad habit increase your income so earlier also we have discussed no so in the free time we can do freelancing or whichever is paying the good or reasonable salary for your work that kind of incomes we need to get create a budget seek professional help so if you are struggling to manage your debt consider seeking help from financial adviser or credit consoler so whatever the suggestions given by chat GPT after that also if you require some other suggestions then you can go with the advisory functions all your Bankers or commercial Banks private Banks they are going to offer this financial advisor services or financially advisor agencies okay so you can go and you can contact so like this whatever the personal questions are there regarding personal finance okay without going for advisory Services you can get all your answers for whatever the queries you have you will get all sort of answer or suggestions you are going to get with the chat GP let us discuss about pension or pension scheme or after the retirement what is the future or how we need to maintain for our medical bills or financial whatever the commitments will be there correct so for day-to-day expenses we require money so we'll see we'll ask few questions on the retirement and pensions my first query is what are the key factors to consider when planning for retirement if for example after 10 years or 15 years I'm going to retire or I'm planning to retire correct so how we need to or what are the factors we need to consider when we go for a or when we planning for a retirement chpt will give few suggestions or advises what are the key factors we need to keep it in our mind and then we need to plan for our retirement after 15 years or after 20 years correct so first one is retirement goals so we need to set a clear retirement goal if for example if I'm going to retire after 15 years means I need to be have this much of cash in hand and this much of balance we need to save in the bank or this much of amount I need to invest on this particular Securities or it may be on real assets that is on land and building okay whatever the other things are there how much I need to invest on that so that after retirement I have the money in hand or cash in hand for our day-to-day expenses or meet the day day to-day operations activities of our life so it's important to have a clear idea of what you want your retirement to look like so this may include things like where you want to live what kind of activities you want to do and how much money you will need to support your lifestyle so I've already told you the day-to-day activities or meet the day-to-day expenses okay we need to plan if for example for one month how much money is required okay to get that one whatever the forecasted value is there okay that we need to plan and from this to retirement we need to save that money so every month I need to get 5,000 rupees just for a household expenses for medical expenses this much for transportation this much okay total this is the amount required after retirement for every month so for that money I need to get the after retirement means I need to plan from today okay then only you can easily lead your life after retirement so next advisor is retirement age so we need to knowing when you plan to retire is important because after 10 years 15 years 20 years you need to know at what age you are going to retire or after how many years you are going to retire so that you can plan well enough Advance next retirement income I already told you right so which are all the available Avenues are there or pension schemes are there or retirement schemes were there or whatever the Securities assets everything we need to have the different portfolios are available we need to invest and every month I need to get 12,000 rupees per month as an income for leading my life so that is the retirement income and we need to think about our expenses also I've already told you about household expenses and medical expenses okay so whatever the like diseases or whatever the problems are there for that we require medical assistance correct so doctor assistance is required medical precaution Aries are required so that we need to clearly we need to create some reserves for that also so that we need to think what are the other expenses it may arise on that particular age okay that also we need to forecast now only so savings rate so what is the if for example if I'm going to invest whatever the XYZ amount okay I'm going to get whatever the returns for my savings that we need to think investment strategy different Avenues are available especially for retirement okay we have retirement planning schemes only there okay our retirement funds will be there so how much we need to invest in that particular things and how much I require the money for my particular lifestyle okay so that we need to think debt management so if you have the debts or if you have the loan okay so before your retirement only you need to plan for completing that loans or whatever the debts are there if for example I'm going to retire within 10 years then you need to make sure that you need to complete your debts within that period only so after retirement if you planning to complete that loans it will affect your retirements estate planning you should also have a plan for what will happen to your assets after you pass away this may include creating your will or trust and naming beneficiary for your retirement accounts so after your expiry we need to think about for whom will be we need to allocate all these assets or whatever the bank accounts are there like economy we need to nominate correct so inflation rate depending on the inflation rate also we need to plan and Healthcare so these are the few advisories given by the chat GPT and also if you are more questions on this retirement goals or retirement age okay or retirement income or debt management inflation Health Care okay you can ask your particular question or quiry on this particular information so that is going to give the more information related to that next question what type of retirement accounts or pension plans are available to me so for example I'm going to planning to retired after 10 years or after 15 years okay from today so what are the all accounts or pension accounts or retirement accounts are available for me so that easily I can retire after 15 years and I can easily lead my life okay so these are the few advisories given by the chat GPT that is 41 plans individual retirement account that is IRS simplified employe pension SCP defined benefit plans Thrift Savings Plan that is tsp 457 plans annuities so these are all the few plans or pension plans available or accounts retirement accounts are available for an individual so in this also for example if you are not knowing about 41 plans you can check on this particular 4 not1 plans for example what is 41 plans of retirement so chat jpt will give you the all the information regarding this 41 plans 41 is a plan that is a type of employer sponsored retirement plan that allows employees to contribute a portion of their pre-tax income to retirement account see that will gives the age limit what is the amount or with whatever the age limit are there till that employer is going to gives this Advantage everything that will gives you about this 4 not1 plan like that if you have any queries regarding all these points also you can dig into deeper with the chat GPT so it will advise or it will give the what is the clear information regarding that particular queries are there that will gives you the clear informations so next question how can I plan for retirement if I have a limited income or financial resources if for example per month I'm going to earn a 10,000 rupees of salary so with that 10,000 rupees of salary how can I plan better for my retirement so planning for retirement can be a challenging when you have the limited income or financial resources so if you are earning more money then that is not a big challenge for you to keep some money for your retirement plan also but if you are getting very less money on that time it is very difficult for planning for our retirement the first we need to do start saving early so when you start earning the income from that on time only you can start saving some money for your future or for your retirement take the advantages of your employer retirement PL if any retirement plans are offered by your employer please take the advantage of that so that you can have very good plan of your retirement or you can easily lead your after retirement life life within your means it's important to live within your means and avoid taking on debt that you can't afford to pay back for example I cannot repay the debt of 10 lakh Rupees so I don't have the capability of repaying that money or that loan so on that scenario please don't go for that large amount of loans or large amount of debt whatever is visible from your hand to repay that money or repay that debt go for that so next consider downsizing look for ways to increase your income take advantages of tax breaks be mindful of your expenses so these are all the few advises given by the chat GPT for your qu for example we can ask one more question if I'm earning 10,000 rupees per month how can I plan for my retirement so if I'm getting very low money or low salary so on that time also you can have your quiries with the chat GPT so that will also help you to do the very good retirement plan for your future so set a retirement goal I've already told you you need to clearly set a retirement goal how after how many years you are going to retired so open a retirement account so consider opening a retirement account such as Provident fund or a public Provident Fund ppf in India and make regularly contribution these accounts offer tax benefits and can help you to build up your retirement savings over the time so whatever the amount you are going to invest in ppf account for that you can get the tax advantage also at the end you are going to get the very good lumpsum or return also so contribute to employer sponsored plan so if any plans offered by your employer for your retirement or for your future please invest in that start small and increase contribution over a Time so start saving small small amount then you can start investing okay be mindful of your expenses so whatever the expenses are there please take care or please have a control over that expenses next consult a financial adviser so like this few advisory services are advises given by the chat GPT for if you are earning 10,000 rupees and how can I plan better for my fug how the chat GPT is going to useful for the banking sector okay so we'll see one by one I will ask some questions on banking sector and how the CH GPT is going to suggest so first question on banking sector what are the different types of banking services available to customer so usually we need to check with the banker for example if I'm the Savings bank account holder of SBI or KRA bank or AIS bank so first what we are going to check so what are the services they are going to provide for the customers correct so first we are going to check so the same question I have asked for this chat GPT so here are few suggestions or few answers for our questions so first one is savings account as a banker first and foremost Services they are going to offer for their customer is Savings bank account the main objective or primary objective of the savings bank accounts are create a savings habits with the public so what we are going to do if we have the excess of money in our hand so what we are going to do we are going to deposit in our bank account so that is the one habit the savings bank account will create for all an individuals correct so that is the first service all the banking sectors or bankers they are going to offer second one checking accounts a checking account is a type of bank account that is designed for everyday transactions such as paying bills and making purchases so what are the different types of accounts that Bankers are going to offer for example as an individual I can open a savings bank account or I can open a recurring deposits account or at the end I can open fixed deposits account correct if I'm the owner of a company or I'm going to run one company so on that time Banker is going to offer a current account so for current account also they are going to give few Services additional Services they are going to offer that is n number of time withdrawals or n number of time deposits all those things will be there and overdue facility that is the added Advantage for this current account like that they're going to check the accounts as for your whatever the transaction turnovers are there according to the they are going to check the what is the type of account they can offer and next debit cards nowadays digital India or digital transaction we are going to do correct so for debit cards also it will be useful instead of carrying the cash so we can carry debit cards like in fuel center or for any shopping malls and other things we can carry the simple debit cards then we can easily we can complete our shoppings next credit cards so credit cards usually we are going to use correct so whatever the bank account are there they are going to offer so for example if you have the bank account in SBI you can get a credit card from SBI in some scenarios if you don't have the account also for example I don't have account in SBI but also SBI will offer the credit card and with that credit card I can go and without any balance in my account but also I can purchase whatever ever the goods or services or products are required and I need to repay that money or whatever the due dates are there or maturity period is there within that I need to repay for the banker that is the one more Services offering by the banker I will ask one question for Char what are the different kinds of loans available see if I go to Banker also I'm going to ask what are the different types of loans there going to offer and what is the interest rate so if you are going to bank and if you are going to ask instead of that if you ask the chat GPT what are the different kinds of loans offered by the banker and what is the interest rate at what period for example the limit for 10 years they are going to give personal loan or 15 years they are going to give some other loan or Vehicles loans usually vehicle loans are offered for 7 years correct so all these things physically no need to go to any Banker instead of that you can ask CH GPT so my question is what are the different loans offered by Bankers so first one personal loan Auto Loans mortgage loan that is your secur loans student loans business loans payday loans lines of credit so these are the few loans the banker is going to offer for their customers okay these are the common questions also you can ask and whatever the suggestions are there the chat GPT is going to useful to give the suggestion for your queries and comes back to the earlier question so next Investment services so your Banker they are going to offer Investment Services also for example I don't have any knowledge about the investing money in the stock market so on that time Banker will help correct so that Services also they are going to offer online and Mobile Banking facility ATM Services while transfer foreign exchange services so these are all the few services offered by the banker so you got to know the chart GPT is going to give the all the services offered by the banker if you have any queries regarding this also you can ask so on this foreign exchange services so I can ask whatever the doubts I have so I need to exchange my currency I have us so I need to convert into Indian rupee so I need to know how much they are going to charge for the transaction or for that services so my question is transaction cost the banker will charge for the foreign exchange so here are few suggestions the transaction cost also depending on the banker to Banker okay it's going to vary so exchange rate commission so what is the exchange rate for that particular day that they are going to charge and commission the banker is going to charge and transfer fees okay from US dollar to whatever the Indian rupe they are going to transfer to your bank account for that they are going to charge and handling charges other charges so these are all the few cost involved for the exchange of one currency into the other currency so if you want to get to know all these whatever the rates or transaction cost we need to earlier we need to go for the banker only or we need to call the our personal advisers correct so instead of that now we can easily get all this information with the chat GPT only next question everyone are thinking like as a common public or investors they are going to tell if you invest your money in the bank or if you are going to deposit your money in the bank that will be the safer so if we are going to deposit our money in our bank account correct so what are the safety measures we have or what are the bank they are going to take few steps to ensure our safety of funds so that question I will ask chat GPT now so do banks ensure the safety and security of the customers funds as an individual I'm also customer for a banker correct so how much safety is there for my funds or my deposits so banks have variety of measures in place to ensure the safety of security of customers funds so they will make sure that they have whatever the steps for the keeping the money safer of all the customers so first one is FDIC insurance insurance so they are going to take the FDIC Insurance FDIC is nothing but Federal Deposit Insurance corporations so they are going to take the insurance with this okay so insurer deposits in most of the banks up to a certain amount that is currently do 250,000 per depositor per insured bank so this insurance they are going to take at the second one physical security so banks have the physical security measures in place online security will be there anti fraud measures risk management or complaints with regulations so these are the measures the banker is going to take for their customers deposited money or whatever the funds invested by the customers in their accounts that these are the measures they are going to take so like these are the queries we have asked and the chat jpt is going to suggest so these are the measures the banker will take for their deposits next question how the banker use technology to improve the services of their whatever the day-to-day operations are there here are few suggestions or few answers from the chat GPT so using the whatever the Advanced Technologies are there okay the banker how they are going to improve the customer service base so first One online banking services nowadays everyone are using this online banking transaction correct so earlier if you want to transfer our money so we need to go to Banker physically and we need to fill the form and then we need to give it to the cashier and then we are going to transfer the money correct so but now if you want to transfer money from one account to other account or one person to other person usually okay we are going to go for online banking we are going to transfer or we are going to use this mobile banking all Bankers they having the apps mobile apps correct so we are going to log to the Mobile Banking and we are going to transfer ATMs now we can easily deposit our money also in the depositor machines correct so ATM also works as a deposit machine nowadays and electronic payments and customer relationship management risk management data analytics blockchain technology okay so these are all the few technology they can use and they can enhance the customer service base okay so these are the suggestions given by the chat GPT for the whatever the technology using the banker to improve their customer service base so like this whatever the questions you have regarding the banking sector if you ask the question that will gives the answer in the text format so these are all the few suggestions or few whatever the answer is given by the chat GPT for the banking sector let us discuss on investment strategies and portfolio wealth management okay so how chart GPT is going to helpful for getting the information on this investment strategies so first question for the investment strategies are what are the some effective investment strategies for long-term wealth building so if you want to invest so what we are going to think first we are going to think safety of our funds whether whatever our investments are there whether safety is there or not next one the liquidity how easily we can convert into Cash whatever the instruments we have that we need to convert into cash that is the second one and third one we are going to looking at the return on the investment correct so these are the three things we are going to check so if we invest for the long term how much wealth we can build on that particular instruments so let's see what are the suggestions or strategies the chart GP is going to provide for this question so here the few suggestions given by the chart GPT for increase the long-term wealth or wealth building in the investment strategies so first one diversification so diversification is nothing but for example if I have 10,000 rupees for investment ments or savings I have for Investments correct so on that time what I need to do I'm going to invest all 10,000 rupees in the equity that is the diversification no or if I'm going to invest all 10,000 in the debentures or it may be prefer share that is not the diversification correct so diversification is nothing but we need to divide or we need to invest our money in the different avenues for example in stock only or in the Securities only for example 4,000 I'm going to invest in equity share 4,000 rupees investing in the preference share and remaining 2,000 I'm going to invest in debenture so this is called diversification why we have to do this diversification means to reduce the risk or minimize the risk involved in that Securities correct so that is the first suggestion given by the CH GPT so spreading your investment across different assets classes like stocks bonds real estate and commodities can reduce your risk exposure and ensure the balanced portfolio so we need to balance the risk and the return so if you want a high return Then risk is also high so if you want a moderate return then your risk will be moderate like that we need to balance our risk and return so on that scenario we can get the more wealth for the long term next suggestion is Buy and Hold so for example I already give the example for 10,000 rupees I'm going to invest 4,000 in equity 4,000 in preference share and 2,000 in debenture so if I purchase today after 1 year what I'm going to do if I'm going to sell that whatever the 10,000 shares or 10,000 rupees of Securities what I have I'm going to sell it for 15,000 rupees so my profit is 5,000 rupees so if you are going to sell within one year or two years or very shortterm periods then you cannot maximize or you cannot build the wealth so you need to hold for at least for 10 to 15 years okay so if you hold that Securities for a long term then only you can get a good wealth after the whatever the holding periods are there after that you are going to get very good amount or very good return and growth of your securities value also so you need to hold for the long durations so this strategy involves buying stock or funds and holding on to them for the longterm so longterm means at least you need to hold for 10 years then you are going to expect very good return and growth of your Investments so next dollar cost averaging so investing a fixed amount of money at a regular intervals regardless of Market condition can help to smooth out the impact of Market volatility for example so every month I'm going to save 55,000 rupees per year it is 60,000 Rupees correct so what I'm going to do every year 60,000 I'm going to invest in the stock market whether what may be the market conditions are there but I'm going to invest 60 60,000 every year so at the end I'm going to get a very good return return so the market fluctuation is also there whatever the volatility or fluctuations are there in the market but also I'm going to invest I'm going to get a good return at the end that is the third Point next fourth one rebalancing so regularly reviewing your portfolio and rebalancing it to maintain your desired asset allocation can help you to capture gains and minimize losses so whatever the amount you have invested so that you need to regularly check or you need to regularly do the transaction in the demat account or whatever the Securities or whatever the assets you have invested you need to check if it is something is decreased or increased then you need to do the rebalancing for that Securities tax efficient investing nowadays yes for whatever the tax payments are there or whatever the government is going to allow under Section 80c to 8U for the deductions correct so we are going to plan or we are going to do the tax planning for the particular Financial correct so on that time also you can go for investing your money in the stock market or whatever the tax savings funds are there consistency seek professional advises now chart GPT is also going to give the like professional advisories so you can type your questions in chat jpt for example every year I'm ready to invest 60,000 in the stock market how I can balance the portfolio or how much I need to invest in the different Avenues if you ask that question so chart GPT will give you the so many different answers or whatever the strategies are there or whatever the advisory services are there that chat GPT is going to give that example I will type now so if every year I'm ready to invest 60,000 rupees in which Avenue I need to invest my money so the best Avenue for investing your money depends on your investment goal so in the previous sessions we have discussed that is personal finance correct so what is your goal first we need to set a clear goal either it may be a shortterm goal or long-term goal if we have the clear goals or financial goals then only we can plan all the other things so first one mutual funds you can invest your money whatever the 60,000 is there you can invest on mutual funds stocks that is nothing but your all Securities and public Provident fund ppf account you can open a ppf account and you can invest your money National pension scheme NPS that is also one Avenue you can invest or real estates okay so these are the suggestions given by the chart GPT if you have the any queries like a advisory services will provided by the chart GPT for your queries so next question how can I diversify my Investment Portfolio to minimize the risk that is the last question we have discussed how we need to invest in different Avenues or what are the Avenues are available for investing our money correct so next question I I'm going to ask for how we are going to diversify our investment so we can reduce our risk and we can manage the risk in our portfolio so here are few suggestions given by the chat JP that is assets classes so what are the different asset classes are there okay first we need to check like in different asset classes such as stocks bonds real estate or Commodities and cash okay so these are the different Avenues are available so first we need to check which are the feasible avenues for us okay we can invest in that or we can trade in that that we need to check second thing we can go for like geographical boundaries so invest in different region and countries to take advantage of op opportunities and mitigate risk associated with the Local Economic and political conditions so as per the or according to whatever the economic conditions are there political conditions are there so depending on that also we need to plan our investment next sector wise which is the for example banking sector or manufacturing sector or it sector whatever the sectors are there whichever is there in the peak or whichever is going good or it is making good profit in the economy that we need to check sectorial wise and then we need to start investing our money sector wise investment vehicles so use different investment vehicles such as mutual funds Exchange Trade funds individual stocks bonds Etc so we need to think which are all the riders or vehicles are there in the market according to that we need to start investing our money so risk levels so what is the risk level are involved in that particular sector or particular Securities that we need to check and then we need to invest if for example high risk is there for that particular sector for example so on that time whether we need to invest in that sector or not that we need to check after covid effects medical companies or whatever the medicine companies are there they're making very good profit correct so on that time that is the in boom so on that time we need to invest on particular stock market or whatever the sector are there on that we need to invest whichever is having the high risk on that time we need to think and then we need to invest our money in that particular Securities time Horizons so what are the time period you are going to invest whether it may be a shortterm medium-term longterm that you need to check and then you need to invest your money so it is the important things for any individual to minimize their risk and divers if y their assets or diversify their portfolio management and to invest their money so these are the few suggestions so next question how should I balance risk and return When investing in different types of assets I have already told you we need to diversify our funds we need to invest in different Avenues or different assets classes are there in that we need to invest correct so in that also risk is involved correct so how should I balance that risk if I'm going to invest in different assets or different types of of avenues here are the few suggestions we'll see so balancing risk and return is a key consideration when investing in the different types of assets so wherever it may be not only for assets or not only for security or any other things okay we need to check what is the risk and return return after that only we need to invest our money so first one understand your risk tolerance so how much you are capable to maintain or how much capable you you are to take the risk first you need to check okay so second one determine your investment goals so in the personal finance only we have discussed first we need to set our financial goal whether it may be a shortterm long-term medium term first we need to set a clear goal next allocate your assets so which are the assets are available and how much money I'm going to allot for each assets that we need to clearly set and next diversify your portfolio rebalance your portfolio and review and adjust so these are the few suggestions or few advises given by the chat GPT to balancing the risk and return okay while investing in the different types of assets so other than this if you have any queries regarding particular investment or particular assets that also questions you can ask for chat GPT and it will advise as a text format it's going to give the advisory for you your queries here are the few queries and advisory given by the chart GPT let us discuss about credit score or credit management so everyone are knows about credit scores correct so as an individual we will call it as Cil rating correct so Cil rating is nothing but the individual for example XYZ person how much is capable to repay the debts so that Cil rate will will give you the information of that XYZ person how much he is capable to repay the debt back okay so we'll see in chat GPT we'll ask few questions on this credit score and Credit Management everyone will think how this Cil rating is calculated for example day to-day wise everyone will get the phone calls from the credit card correct or some loans sir for your whatever the credit scores are there there as for that we have the preapproved credit card or preapproved loans is available for your account how they are going to get to know what is my credit score how how they are going to calculate the credit score of an individual so I have this query correct so on that time what I'm going to do I'm going to ask the suggestions or advisor of a chart GPT so that whatever the suggestions they can give on this particular query so what is the credit score and how is it is calculated or how is it calculated individually I've already told you the credit score is a numerical representation of a person so for example XYZ person is there it's going to numerically represent okay with these criteria numbers are there so they are going to give one number okay so according to that how much you are capable or all your financial institution or Banks everyone they are going to check this credit score for and then only they are going to give the loans or they are going to provide the loans so credit worthiness that is the credit repayment capacity of an individual so it is calculated based on your the information contained in their credit report which includes their credit history so past whatever the Emi or credit repayments I'm going to do or that XYZ person is going to do or he is done correct so that they are going to take all the past transaction or past history of that particular person and then they are going to calculate this credit score so payments history are the outstanding debts so the most commonly used credit score in the United States is the FICO score which ranges from 300 to 850 the higher the score the better the individual credit worthiness perceived to be so if your credit rating score is more than like 700 750 800 then you are very good that is your credit repayment capacity is very good so that is how they are going to calculate and these are the criterias okay so there are several factors that are taken into consideration when calculating the credit score so in brief we are told you like so what is the credit history of that particular person payment history or the outstanding debts based on that they are going to calculate Cal so here this chart jpd is given clear information what are the things they are going to take into consideration while calculating the credit score of a particular person so payment history whether it may be your credit card bills okay every month or on time you are going to pay the credit card bill or whatever the emis are there or whatever the debts you are taken for that you need to repay the Emi correct so monthly wise you need to pay that is regularly you are going to pay or not in sometime if you are delayed or any transaction was denied from your end everything they are going to check so amount owed that is how much amount you are going to take that is the this account for 30% of the score and looks at the total amount owed across all the credit accounts for example my income is 50,000 I've already taken enough loan okay after that also if I'm going to planning to take or if I'm plan to take then the banker they are going to check what is the total OES you have okay based on that also they are going to calculate and they are going to disperse or they are going to approve some amount of loan length of credit history so this account for 15 years of the score and looks at how long an individual has at credit accounts and average age of their accounts so for example if I'm going to purchase a house so I need to go for a home loan or housing loan loan so how many years you are going to take that loan and what is your age based on that also they are going to calculate and credit mix this account for 10% of the score and looks at the different types of credit accounts and individual as such as credit cards loans and marage so I already told you not only your loans or not only your credit cards they are going to take all these things credit card payment or loan payments or whatever the secured loans that is M gaau loan you have taken everything they are going to check for the credit score new credit this account for 10% of the score and looks at how often an individual applies for new credit and the number of recently opened accounts so how many times you are going to take the loans for example I'm going to take a loan personal loan every year because of some commitments and I'm going to repay so that things also makes year or they are going to take into consideration while calculating the credit score so these are all the meaning of sorry this is the meaning of credit score and these are all the few consideration they are going to do while calculating the credit score so these are the advises or suggestions given by the CH GPD for the personal credit scores next question if for example my credit score is 600 I need to improve my credit score now because I need to purchase a home or apartment so I need to go for a loan correct so on that time I need to improve my credit score otherwise no Banker or no financial institution are ready to pay or ready to give the loan to me so on that time we need to know what are the strategies are there to improve my credit score so on that time that query you can ask the CH GPT so it will give few suggestions or advises to improve our credit score so the the first suggestion first advice is pay your bills on time so for example if the credit card bill is due on every month 10th so you need to pay on or before 10th instead of paying on 10th you can pay it on 8th 9th okay whenever it is possible or whenever you have the sufficient funds with you please pay that money that is the first advice second one reduce your credit card balances so Banker yes there going to offer okay based on our past history or past payments they are going to offer to increase our money for example first year they are going to give for 15,000 as a limit next as per your whatever the past payment history they are ready to increase your credit card limit for 30,000 or 45,000 so instead of Simply increasing based on your requirement you can go for that otherwise please reduce the credit card balance next pay down the debt so whatever the debts are there or loans are there try to reduce the debts or try to repay the debt high levels of debt okay so especially on credit cards can negatively impact your credit score so so as much as possible reduce the credit card bills on that time next check your credit report for errors so in that credit report only they are going to gives the what are the errors you have done so that is the reason they have deducted this many points or they have given the whatever the credit score for you okay check that whatever you have done in the past next keep old accounts open the length of your credit history is a factor in determining your credit score keep your oldest credit accounts open to demonstrate a long credit history so whatever the old accounts are there that needs to be like open because you are going to regularly repaying that money correct so that should be one strategy don't open too many new accounts at once okay don't go for whatever the new loans are available or whatever the requirements are there okay on that time don't open many accounts or many loans accounts next consider a secured credit card okay so these are the few suggestions for improving your credit score given by the chat GPT so if you follow these strategies then you can easily go or you can get the good credit score we have one quote prevention is better than cure we have looked at the what are the strategies available for improving our credit score before that what are the common mistakes or how we are going to do the mistakes while negatively impacting our credit score that we can avoid correct so we'll see what are the common mistakes everyone are going to do for their credit score negatively impacting on the credit score so first one late or missed payment so I have given the example of 10th is your credit card bill is due correct we need to pay within that don't miss that repaying that whatever the outstanding is there you need to pay on or before the due dates next maximizing out credit cards so increasing the limits closing old credit accounts applying for too much of credit at once I already told you about this correct so defaulting on loans ignoring your credit report co-signing for someone else so we are going to give the security correct that is also negatively impact of your credit score because if they have not paid then it will comes to you people only so these are all the few advises they have given for this particular query so like this in chat GPT whatever the queries you have regarding this credit score or Cil writing and whatever the common mistakes or improving credit score everything you can ask the chat GPT and it will gives the advisers in the text format now let's take a step further and explore creating your own custom GPD imagine tailoring an AI specifically for your needs whether it's for a unique project business application or personal use in this segment we will guide you through the process of creating custom gpts in chat GPD discover how to fine-tune and train the model with your own data to make it even more powerful and relevant to your specific requirements have you ever used chat GPD it is an amazing tool for generating content writing code and even handling all your queries whatever you'll have in different fields but did you know that you can create your own custom version of GPT within the chat GPT platform imagine having a gbd tailored specifically to your unique tasks and needs in this video we'll dive into how you can build your own personalized GPT and explore the incredible things you can achieve with it get ready to unlock the full potential of chat GPD and see how it can transform the way you work and [Music] create if you want to know more about Chad GPT our full tutorial on chat GPD is available on our Channel you can go and check it out first let's break down GPT generative pre-trained Transformer in simple terms imagine teaching a friend to write stories you would first give them tons of books to read right that's exactly what we do with GPT we feed it a huge amount of text from books articles and websites this is called pre-training during pre-training GPT learns the basics of language that is grammar sentence structure and even some facts about the world it's like the AI is soaking up all this knowledge GPT is built using a special architecture called a Transformer specifically the decoder part of the Transformer this structure is really good at understanding the context of the words for example it knows the difference between apple the fruit and apple the company based on the surrounding words the Transformer decoder has layers imagine a sandwich each layer processes information and passes it to the next layer getting more refined with each step this helps GPT understand and generate humanlike text now when you give GPD a prompt like once upon a time it uses everything it learn to predict and generate the next part of the story one word at a time it's like a super smart autocomplete you can use GPT for a lot of cool things writing is coding help creating content and even chatting with virtual assistants I hope you are excited to start experimenting with the exciting existing gpds in chat GPD and even create your own customized GPT on the platform imagine having a tool designed specifically to provide you with personalized and professional insights if you enjoyed this video make sure to like share and subscribe to our channel for more such exciting entertaining content keep exploring keep growing and let your creativity sore so this is your chart GPT platform now this is your input and when you write here any prompt it will give you the response and here you can see the versions wherever whatever versions you can use GPT 3.5 GPT 4 GPT 40 however we are here to see how in chat GPT we can create our own custom gpts first let's explore various different gpts now there is explore gpts option you click on that and you will see this on your screen now here is a search bar where you can search different gpts whatever you want to search for example you want to search something on data science you write data science and it will give you different options what you want to do these are different data science gpts which are already custom built for you to use so if you click on data science and create a data science GPT it will give you an ex expert for data analysis and visualization you can provide a data set whatever custom data set you want to provide and ask relevant questions for data analysis and visualization explorat data analysis outlier detection etc etc however before jumping onto that let's see what are the different types of gpts chat GPT offers now if you see here these are the top picks what it has told you mermaid chat that is an official GPD for mermaid team generating mermaid diagrams or chart for text there is size space there is landing page creator for from HubSpot there is xql expert which will give you optimization and queries for your database now there are different fields in which chat GPT gives you custom GPT that is writing productivity writing me you have write for me which is tailored for engaging for creating engaging content with focus on quality relevance and precise word count you can give that okay in this number of words give me simplified version of some topic or some concept that you want to understand and write this for me in a blog format or in an article format or in a book format right humanized AI generate Creator text to video maker an Innovative video maker bot that creates and edits Dynamic videos with voice overs using AI power tool okay then there are copywriter GPT there is for marketing and branding and ads right then you can have you can go to productivity productivity has canva diagrams for uh your presentations which can create diagrams for your presentations there are slides GPT for creating your PowerPoint presentations you give the content and it'll give you presentations which you can export in PowerPoint format Google slide format or PDF format whatever format you want then there is image generator Pro the powerful image generation uh tool for you or GPT for you then there is video GPT by Ved there is canva then next is research and Analysis in research and is you have scholar GPT scholar AI then size space Excel GPT these things you can explore and you can see how they have been performing because if they have been performing either they would be on topics or trending section then you have education in education you have mathematics solver tutor then you have diagram creators Universal primer the fastest way to learn like it can tutor you right so everything and it gives you from where it has come like for example tuto me is by Khan Academy okay and previously we saw video GPT by Ved right so it gives you by uh whom this has been created by whom like for example diagram diagram uh has been by helpful. Dev canva is by canva.com so it features chart gbt features gpts from various different platforms various different organizations who wants to offer an integration with chat GPD then you have lifestyle you have astrology and lifestyle travel guide gaming then you have in programming you have code copilot which helps you with programming you can learn python with python GPT you can have website generator this is a GPT for creating website for you then there is a code gbt which helps you with python Java C HTML SQL JavaScript react all these programming languages then you have xql expert and many more so these are the custom gpts which are already there in your chat GPT platform and you can use them based on whatever model GPT model that you are using but let's now first diving before diving into creating your own custom GPT let's quickly check one custom GPD from chart GPD okay so let's do data science which specializes in which is by Oracle and is an expert or specializes in data analysis and visualization so we create a data science GPT and it gives you the rating also from which category it has been taken there are how many conversations and what is the rating for this and what are the conversation starters conversation starters means it will give you suggestions when you talk or when you prompt your GPT it will give you suggestions okay how you can start your conversation or how you can continue and it gives you the capabilities it has browsing capabilities it has Del llm which for images and code interpreter and data analysis tool which is an integration with chart GPT and the ratings right so let's start now it has created a similar chat okay but your GPT is data science so let's start analyzing some data we have picked Titanic data set from kaggle for this activity so I load my Titanic data set here and write a prompt check the data for missing values and give python code for the same because when you first load a data you first of all see are there any missing values you do data pre-processing and in data pre-processing the first step is seeing if your data has missing values or not so we enter this so what does it do it gives you okay these are your colums in your data set and which are passenger ID class name the gender the age Etc and it gives you data set contains missing values for following columns how many columns three columns AG cabin and embarked how many values age has 177 missing values cabin has 687 missing values embarked has two missing values how to do the coding for this if you want to implement on your local for the same you can copy paste the same code where it UTS Panda's Library gives the file path you can give the file path read CSV you can read CSV from this uh python function then in missing values it'll do isnull do sum function will give you all the missing values now this is your code for missing values for Titanic data set before going on to our next it gives you already gives you a prompt can you visualize the missing data or you can go to how to handle these missing values so click on it how to handle these missing values so it will give you you can drop your missing values you can impute your missing values you can use predictive imputation right and it'll it is giving you all the codes that okay if you want to drop if you want to impute if you want to do predictive imputation so all these things are given and prompted by your GPT however if you see your chat gbt it is more towards generic but this GPT custom GPT that is data science GPT is customized for you for your specific data or for your specific task that's why it asks you specific things or you can give specific prompts related to your data now show the updated data set in the table Tableau format or visualize age distribution whatever you want to do or you can give your own thing that pre-process the data but we have already pre-process the data that we have imputed the missing values you can do visualization let's click on visualization it will give you a distribution you know analyzing and gives you an age distrib bution because based on the data it would have seen that age as a factor for Titanic data set holds much more value than other features in your data set now survival rate now visualize we can do any visualization but it says analyze survival rates by Passenger class you can go on because it'll give you based on your data supposing I just want to switch to cut to the end that okay I want to build a predictive model that answers the question what sorts of people were more likely to survive using passenger data okay I give this and it builds on the same that okay do pre-processing do feature selection do model training do evaluation and then it gives that okay Titanic data set these are the the steps however here it missed that you have already built on it that okay you have done the missing values you have dropped you have imput imputed and you want to continue you have visualized you want to continue that context is lost and you can give that feedback to your custom GPT that okay these are the things that got missed and these were I wanted to continue with the conversation that was I was having the context should be the same however thanks yully that the GPT picked up the same that okay pre-process your data in that handle missing values convert categorical values into numeric standardize or normalize the data then there is feature selection model training model evaluation and it is giving you the python code because the first prompt we said please give the python code if you do not give the prompt that you want some type of code out of it any language it will not give you okay so this is taking context from the first promt that we gave now you have all the codes and you can execute that which is performing for you and it has given the explanation as well that you have missing values for these these were the categorical variables that were converted to numerical now selected features were these model training splitting uh was done and logistic regression as a model was applied and you have the accuracy Roc and Au score Roc curve is plotted to visualize the performance okay so all these things are given as a code however you are not seeing the result you can ask that for example on what basis did the feature selection happened or what was the split ratio however you can see the split ratio IO you can ask why this split ratio why it was divided into 80/20 ratio why not 7030 right and you can have these interactions and say that okay logistic regression may not work for this data set can we try some other uh model it can be random Forest it can be Nave bias right so test out this is one of the custom GPT that chat GPT Prov provides for you okay now let's go and check how to create your own GPT I clicked on explore GPT and if you see here apart from your gpts here the custom gpts that chat gbt provides you have a create option right you can click on Create and next thing you know you have this screen where you are creating or configuring your your new GPD where you give the name you give the features all these things that you want to do okay in create option you can interact with chat GPD where it asks you a series of questions like how may I help you and just asking you that you want to make creative uh you know uh something like make a creative uh who helps generate visuals for new products or you want to make a software engineer who helps you format uh your code what do you want to do you can do this as in an interactive format or if you have a direction in your mind you can just put all the details what is the name of the new gtpd you want to create what is the description what are the instructions that it should follow what are the conversation chapter that you saw right it is optional you want to keep you keep the knowledge you you can upload and what are the capabilities you want to include in that right so all these things if you have a correct direction you can directly fill it but if you do not have correct direction you have just overall an idea what to do and you know how to you know what to create then you can have a conversation and based on your conversation the chat GPT this feature of chat GPT it updates your configure part so here we would be creating a sports Pro analytics gbd which analyzes which would analyze all things for your favorite sport be it Cricket be it football whatever data you provide now I want to create based on Cricket so I have a description that Sports Pro analytics interprets player performance data generates statistical analysis and offers Insight on team strategies it predicts game outcomes evaluates player Fitness and optimizes training regimes additionally it provides detailed breakdowns of game plays and performance matric so whatever sport you are fond of it can break down everything for you from player performance to prediction of your next game it is an exciting tool for you so I have created the description the instructions for this already so the instructions my instructions have what does this GPT do how does it behave what should it avoid doing I have all these things already listed it down so I'll just copy paste and give it okay that what does it do player analysis I'll you know I'm telling team strategy insights whatever I have given I have given in bullet pointers okay for this player uh performance what needs to be done for team strategy insights what needs to be done what does not need to be done all these things I have given that okay now data your analytics should have data driven approach so all these dos and don'ts I have given as an instruction already now as my knowledge I do not want to do a conversation chter you can keep any conversation chter you can uh put as analyze your player performance for example um you can keep analyze player performance okay you can do anything check who will win for example anything but I want I have a data right now on Cricket I want this GPT my custom GPT to be trained on that data okay I'll upload all my data cricket match data player data team data fan data okay based on fan based on uh Team Performance Based on player performance what was the performance what was the match I'll upload that let me show you this data as well for example your cricket team data has random like India Australia England and New Zealand how many matches it has that team has played how many wins how many loses how many draws what were the score what were the runs what were the wickets what is the economy rate what is the Run rate right so like this we have four different data sets with random small data sets that I'm training it on so let's go down and see the capabilities ideally your code interpreter and data analysis is not ticked on you can take on uh code interpreter and uh analysis then we have create new action when you click on this this is for if you want to have your GPT custom GPT involved with a database or schema or a website to be integrated with that you can add the authentication you can add the EMA you can import the URL however you want to do for this we are not doing this action for additional it will ask you use conversation data in your GPT to improve a models that you take on right because it will improve your GPT now if you want to test it out you can message and test it out if you want to directly create create however I would suggest you to test it out first on your preview because you have a preview here you can see as you write all the details you will see this preview getting updated so let me ask it the first prompt that analyze the performance of verat kohi in the last five matches and it'll analyze it'll first go analyze the data that you have we have provided the knowledge and then it'll give the analysis that okay verat kohi has played these many uh matches he has scored these many runs this is the batting average this is a strike rate these are the catches okay now it asks you would you like a detailed analysis or visual representation of any specific aspect of this data it'll give you compare with his career averages show based on your data you can analyze and go on with that let's do some other prompts as well so as it gives strategies we ask what has been India's key to sexcess in last five matches for example so it gives you what has been the Run rate what has been matches played wickets taken economy rate and it gives you the total okay in the similar way you can analyze ask for strategies that okay Australia what has been the key strategy for Australia it will analyze the data for you because you are providing numerical data it'll give you analysis so that's why it's called Sports Pro analytics and by creating by clicking the create button you will create this GPD and you can going forward you can edit it if you have more data you can put more data on it and as a knowledge base you can put more data you can play around it and it'll give you who will win who is going to win in upcoming matches based on what data you have provided this was all for your demo on how you can create your own GPT custom GPT and I hope this was only a sports Pro analytics or analytics based on analytics however you can be more creative with your custom gpts based on your requirements you can do branding you can do campaigns gbt you can explore how much and however you want but the knowledge that you provide the description that you provide the instruction set what the chat GPT should do what it should not do all these things how you configure your GPT plays a very important role how your GPT performs for your specialized task thanks for staying with us throughout this video I hope you understood what gpts are and how they work we have journeyed from understanding the basics of chart GPT to diving deep into the Realms of generative AI large language models and GPT all explained in exciting bite side segment you have learned how to access chat GPT Master its interface and unleash its powerful applications while being aware of its limitations we have explored the unique features of CH gbt 3.5 4 and The Cutting Edge chat GPT 40 including the tricks to use chat G 40 for free we have also tackled prompt engineering and shown you how chat GPD can revolutionize various Fields like Excel coding digital marketing NLP finance and various others plus you have seen how to build apps and websites using chat gp4 with these skills you are ready to transform your workflow and Tackle new challenges with AI at your side keep exploring keep innovating and let chat gbt be your guide