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RAG Has Been Oversimplified - Exploring Complexities in Retrieval Augmented Generation
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- 1 [] Yujian's preferred coffee
- 2 [] Takeaways
- 3 [] Please like, share, and subscribe to our MLOps channels!
- 4 [] The hero of the LLM space
- 5 [] Embeddings into Vector databases
- 6 [] What is large and what is small LLM consensus
- 7 [] QA Bot behind the scenes
- 8 [] Fun fact getting more context
- 9 [] RAGs eliminate the ability of LLMs to hallucinate
- 10 [] Critical part of the rag stack
- 11 [] Building citations
- 12 [] Difference between context and relevance
- 13 [] Missing prompt tooling
- 14 [] Similarity search
- 15 [] RAG Optimization
- 16 [] Interacting with LLMs and tradeoffs
- 17 [] RAGs not suited for
- 18 [] Fashion App
- 19 [] Multimodel Rags vs LLM RAGs
- 20 [] Multimodel use cases
- 21 [] Video citations
- 22 [] Wrap up
