What happened: Three ways to put a small model into production

Distil Labs describes three architectural patterns for replacing frontier model calls with fine-tuned small models on specific tasks.

Why it matters: Three ways to put a small model into production

Engineers running production AI systems where repetitive narrow jobs consume most frontier model traffic and cost.

Success depends on stable task boundaries and quality training data; deferral logic and orchestration require additional engineering work.

In the news

Distil Labs · Published September 2, 2026 · 3 min read

What happened: Distil Labs describes three architectural patterns for replacing frontier model calls with fine-tuned small models on specific tasks.
Why it matters: Engineers running production AI systems where repetitive narrow jobs consume most frontier model traffic and cost.
Watch out: Success depends on stable task boundaries and quality training data; deferral logic and orchestration require additional engineering work.

Each one covers how the technique works, when it earns its cost, and where it breaks.

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