“Build better RAG systems by using the LLM to intelligently expand and refine your retrieved context 🧠💡 In this guest blog post, learn how to build a Context Refinement Agent that improves RAG responses for complex queries by using an agent to examine the retrieved chunks for
“AI agent orchestration framework for building LLM apps with RAG and multiple AI Agents in Python. 100% opensource.
“For this week’s NLP Seminar, we are thrilled to host @rajammanabrolu to talk about Interactive and Grounded Language Learning! When: 11/7 Thurs 11am PT Non-Stanford affiliates registration form:
“Join us with @googlecloud to learn how to build and scale production-ready RAG applications with Gemini and W&B Weave. @ash0ts, ML Engineer at Weights & Biases, will share techniques to enhance retrievers, reduce hallucinations, and boost query relevance. Details:” / Xhttps://x.com/weights_biases/status/1853890435376165343
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