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Overview
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This course demonstrates how to augment GPT-4 with up-to-date documentation using retrieval augmentation. It covers document scraping, text chunking, embeddings, Pinecone, semantic search, and answer generation.
Syllabus
Why GPT-4 can fail - hallucinations
What we can do with retrieval augmentation
How retrieval augmentation works
Scraping docs for LLMs
Preprocessing and chunking text for GPT4
Creating embeddings with text-embedding-ada-002
Creating the Pinecone vector database
Retrieving relevant docs with semantic search
GPT-4 generated answers
GPT-4 with augmentation vs. GPT-4 without
Building powerful tools is almost too easy
Taught by
James Briggs