#蒸馏技术

This research reveals that on-policy distillation's gains come primarily from algorithm improvements rather than data volume, allowing dramatic reduction in training requirements. Developers can implement One-Shot OPD to train models more efficiently, with potential cost savings and faster iteration cycles for AI companies in both China and the US.

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