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9 minutesRAG vs. Fine Tuning
Explain when retrieval is the right fix and when fine-tuning may actually help.
Watch nextAI Engineer. Douwe Kiela led the original RAG paper at FAIR and now ships RAG into regulated enterprises. The talk is mostly about what stops working at scale — chunking strategies that don't survive 100k documents, "accuracy is table stakes, inaccuracy is the real problem," and why attribution and observability matter more than the embedding model. Good calibration before re-reading the article's eval and monitoring sections.
Strong production cautionary material. Use it to pressure-test architecture decisions, especially permissions, attribution, observability and user trust, before debating embedding-model minutiae.
Understand what breaks when RAG moves into regulated, high-stakes enterprise use.
Know the basic RAG pipeline and why attribution matters.
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