2 posts
Fine-tuning: when tuning a model makes sense and when RAG is enough. Cost, style control and pitfalls — without dogma.
When fine-tuning makes sense: selection criteria, costs, and pitfalls. When RAG solves the problem cheaper, and when model training is the only way.
Two paths to a model that knows your business. When RAG is enough, when fine-tuning is needed—and why RAG is usually the answer.