Most teams reach for fine-tuning when they should be using RAG.The confusion usually comes from one thing people know what both are, but nobody gives a clear way to decide.Here's the one-question framework:"Does your intelligence need to live in the model's weights, or in an external store?"RAG = volatile knowledge, retrieved at runtimeFine-tuning = stable behavior, baked into weightsFull decision tree on jargoniseasy find it in my profile.#llm #rag #machinelearning #buildinpublic #ai
Most teams reach for fine-tuning when they should be using RAG.The confusion usually comes from one thing people know wh...
