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1
demo
2
tutorial overview
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Creating a conda environment
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Pip installing requirements txt
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Following the tutorial step by step
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Token amount considerations
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creating the embeddings
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Asking questions
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overall review
Description:
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.

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

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