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Building powerful tools is almost too easy
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Classroom Contents
GPT 4 - Superpower Results With Search
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- 1 Why GPT-4 can fail - hallucinations
- 2 What we can do with retrieval augmentation
- 3 How retrieval augmentation works
- 4 Scraping docs for LLMs
- 5 Preprocessing and chunking text for GPT4
- 6 Creating embeddings with text-embedding-ada-002
- 7 Creating the Pinecone vector database
- 8 Retrieving relevant docs with semantic search
- 9 GPT-4 generated answers
- 10 GPT-4 with augmentation vs. GPT-4 without
- 11 Building powerful tools is almost too easy
