Model Development
Small Models, Specific Jobs
Jun 20, 2026 · 5 min read
Distillation and targeted fine-tuning have matured to the point where a small model, trained on well-curated traces from a strong teacher, matches the teacher on a narrow task band.
The engineering discipline is defining the band honestly. Small models fail hard and quietly outside their training distribution, so the deployment must include an out-of-distribution detector and a clean escalation path.
Our production pattern is a portfolio: several small specialists behind a router, with a frontier model as the fallback and as the ongoing teacher for new trace collection.
This is what diffusion of AI into real value looks like operationally — not one giant model everywhere, but many small ones where they are demonstrably correct.
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