Agarwal: DeepSeek Distilled Reasoning Models Using Correctness-Filtered Synthetic Data
Rishabh Agarwal · The Magic of LLM Distillation — Rishabh Agarwal, Google DeepMind · Mar 23, 2025 · at 13:57
Google DeepMind research scientist Rishabh Agarwal explains how DeepSeek created distilled models from DeepSeek-R1 using verified synthetic data.
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“What they did was they took the best model they had, they generated a bunch of samples, they filtered them based on correctness, because these were on tasks like coding, mathematical problem solving, and a bunch of those things. So they saw whatever, what are the outputs which actually get the right answer, or they saw they get past the test cases or whatnot. They pick those, and then they just fine tune the model on that data.”
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