AI · 1h ago
RAG vs Fine-Tuning: Why Most Teams Waste GPU Budgets
RAG provides knowledge at query time by retrieving document chunks, while fine-tuning teaches behavior like style and format, not facts. Fine-tuning on documents often leads to hallucination because it doesn't embed new knowledge. The key is to use RAG for knowledge and fine-tuning for behavior, not to conflate the two.
Meridian48 take
This article correctly debunks a common AI misconception, but its advice is well-known among experienced practitioners; the real challenge is operationalizing RAG pipelines at scale.
ragfine-tuning