When Fine-Tuning Actually Wins
Most companies shouldn't fine-tune first. But there are specific cases — cost, security, privacy, moat — where prompting and RAG quietly lose. Here is the honest map.
11 May, 2026 · 4 min →
All notes with the tag "machine-learning".
Most companies shouldn't fine-tune first. But there are specific cases — cost, security, privacy, moat — where prompting and RAG quietly lose. Here is the honest map.
Why smaller language models are quietly reshaping AI in 2026. The most interesting trend is not scale. It is restraint.