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Home › Concepts › Distillation

Distillation

Concept Training & Inference

Teaching a small model to imitate a big one.

You're looking at a concept explainer: what this term means in plain English, and the records it ties together.

Distillation trains a compact student on a larger teacher's outputs, keeping most capability at a fraction of the serving cost — the standard way 'mini' and 'flash' tiers are made. It is also a flashpoint: training on a rival API's outputs against its terms is industrial-scale imitation, an accusation that surfaced prominently around DeepSeek's rise.

How this connects to the rest of the stack

Related · 2 Distillation

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Sources

Distillation paper (Hinton et al.) ↗

Record reviewed as of 2026-01-15 — see Methodology.