The process involves retrieving YouTube video IDs and generating a complete channel transcript, which can then be used to create a custom GPT via OpenAI or a context window via Claude 2.1 by Anthropic. The custom GPT can be instructed to provide detailed and helpful advice based on the knowledge base, while the context window can be used to ask specific questions about the content. This allows users to access and interact with the wealth of knowledge available on YouTube in a more efficient and personalized manner.
Key takeaways:
- The CY GPT project is designed to efficiently collate data from a Youtube Channel to create custom GPTs, train models, or for use in querying a large context window.
- The project uses the information acquired from the channels Youtube transcripts and prompt engineering to create a custom GPT.
- The setup involves installing python, retrieving an API key for Youtube, and installing the required packages.
- The running process involves retrieving all the Youtube Video Ids, generating a complete channel transcript, and creating a custom GPT via OpenAi or using the context window via Claude 2.1 by Anthropic.