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New short course on advanced retrieval for RAG (retrieval augmented generation)! RAG fetches relevant documents to give context to an LLM. In Advanced Retrieval for AI with Chroma, taught by Chroma founder Anton Troynikov, you’ll learn: (i) Query expansion using an LLM to rewrite and improve a query, by either generating either additional relevant queries or a hypothetical answer to the query. (ii) Reranking using a cross-encoder - a model trained to measure similarity between two inputs present
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5.4K views · 74 reactions | In our Retrieval Augmented Generation course, you’ll learn how LLMs generate tokens, why they sometimes “hallucinate,” and how grounding via retrieval improves factuality. You'll also explore tradeoffs like prompt length, compute costs, and context limits, using Together AI’s open-source models to run real examples and dig into the mechanics.  Learn how LLM internals shape RAG performance: https://hubs.la/Q03G2wlq0 | DeepLearning.AI | Facebook
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