QA Chat with a Website - OpenAI Embeddings Tutorial: Use GPT-3 API and OpenAI ADA-2 Embeddings

Learn how to create a question-answering system for websites using OpenAI embeddings and the GPT-3 API in this 16-minute tutorial. Explore the process of converting website content into OpenAI embeddings for similarity searches, enabling context-aware question answering. Follow along as the instructor demonstrates creating a conda environment, installing requirements, and implementing the tutorial step-by-step. Gain insights into token amount considerations, embedding creation, and asking questions. By the end of this video, you'll have a solid understanding of how to leverage OpenAI's powerful tools to build an intelligent QA system for web content.

demo
tutorial overview
Creating a conda environment
Pip installing requirements txt
Following the tutorial step by step
Token amount considerations
creating the embeddings
Asking questions
overall review