Tag: machine-learning
All notes with the tag "machine-learning".
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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.
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Small Models, Serious Work
Why smaller language models are quietly reshaping AI in 2026. The most interesting trend is not scale. It is restraint.