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Classroom Contents
Augmented Language Models - LLM Bootcamp
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- 1 Why augmented LMs?
- 2 Why retrieval augmentation?
- 3 Traditional information retrieval
- 4 Embeddings for retrieval
- 5 Embedding relevance and indexes
- 6 Embedding databases
- 7 Beyond naive embeddings
- 8 Patterns & case studies
- 9 What are chains and why do we need them?
- 10 LangChain
- 11 Tool use
- 12 Plugins
- 13 Recommendations for tool use
- 14 Recap & conclusions
