Today's video involves experimenting with OpenAI Mini, focusing on its integration with Cursor.
Testing different Cursor rules to enhance productivity and prompting techniques using XML tags for structured prompts.
Weekend Learnings
Explored user experiences with OpenAI Mini on Reddit.
Compared OpenAI Mini with GPT-3.5 (referred to as CLA 3.5), which is considered a reliable model.
Key Takeaways
Performance Comparison:
GPT-3.5 is still preferred for day-to-day tasks due to speed and reliability.
OpenAI Mini offers significant advantages with up to 64k output tokens compared to 8k in CLA 3.5.
Advantages of OpenAI Mini
Larger output context facilitates complex tasks, such as refactoring and re-architecting code in fewer prompts.
Good for large-scale projects that require detailed instructions.
Disadvantages of OpenAI Mini
Requires very specific prompts to function effectively; poor prompts lead to wasted time.
Still has limitations, such as a need for perfect prompts and limited chat capabilities.
Cursor's implementation of OpenAI Mini can be buggy, resulting in missing text outputs.
Testing Prompt Structuring with XML Tags
Experimented with wrapping prompts in XML tags to improve clarity for the LLM.
Example Prompt: Create a terminal app to fetch and display top Hacker News posts.
Added details like scraping method, styling, code modularity, and security requirements.
Using Cursor for Project Structure
Explored adding folder structures using OpenAI Mini’s capabilities, emphasizing its ability to quickly generate multiple files based on a given structure.
Example: Created a comprehensive folder structure for a project by prompting OpenAI Mini to generate files and folders.
Project Implementation Example
Developed a pipeline for managing video uploads on a website to automate the process of adding videos.
Created a command-line script utilizing OpenAI to generate descriptions based on video titles.
Successfully integrated this script into the website, enabling easy updates of video content.
Conclusion
Continued experimentation with OpenAI Mini showed promise, primarily in complex scenarios where large outputs are beneficial.
GPT-3.5 remains a solid choice for everyday use, but OpenAI Mini offers compelling capabilities for specific tasks.
Encouraged viewers to explore and experiment with their own setups using the tools discussed.