Chat GPT Tutorial Notes

Overview

• Introduction to Chat GPT and its functionalities.
• Aim: Make Chat GPT a tool for efficiency in different tasks.

Structure of the Tutorial

1. Basics of Chat GPT
   • Definition and purpose of Chat GPT.
   • Developed by OpenAI.
2. Generative AI and Large Language Models (LLMs)
   • Brief overview of generative AI and its relevance.
   • How GPT fits into the AI landscape.
3. Chat GPT Versions
   • Evolution from 3.5 to 4 and 4.0.
4. Prompt Engineering
   • Importance of crafting effective prompts.
   • Techniques for effective usage.
5. Applications in Coding and Digital Marketing
   • Using Chat GPT for coding assistance, email drafting, and marketing strategies.
6. Creating a Custom GPT
   • Step-by-step guide to creating personalized GPTs.

Key Concepts

• Generative AI: Fast-evolving technology that generates content based on input.
• Discriminative vs Generative Models: Discriminative AI classifies data, while generative AI creates new data.
• Different Types of Generative AI:
  • GANs, Variational Autoencoders, Transformers, Diffusion Models.

Applications of Chat GPT

1. In Coding

• Code generation and debugging.
• Enhancements in Python applications.

2. In Digital Marketing

• Email drafting, subject lines, and campaigns.
• SEO-friendly content creation.

3. For Financial Services

• Personal finance management practices.
• Investment strategies, retirement planning, credit management.

Practical Examples

• Creating an Email:
  • Drafting emails for various purposes: job applications, customer feedback, and rejections.
• Generating Content for Social Media: Ideas for Instagram, Twitter, and LinkedIn posts.

Conclusion

• Chat GPT as a powerful tool for streamlining tasks in coding, marketing, and personal finance.
• Encouragement to explore and leverage Chat GPT in various aspects of life and business.