Fine-tuning vs RAG: when each approach makes sense
Fine-tuning and retrieval-augmented generation solve different problems, and choosing the wrong one wastes months of engineering effort. This article breaks down the decision criteria, hidden costs, and practical scenarios where each approach wins — and where combining them is the right answer.
fine-tuningragllmprompt-engineeringretrieval
16 July 2026