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Training-Free On-Policy Distillation

Bangji Yang et al.
arXiv CS · Papers
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deep-learningmachine-learningneural-networks
On-policy distillation consolidates specialist models into one student at the price of rollouts, teacher passes and gradient steps for every teacher. We show that the consolidation does not need training: with forward passes only, the capabilities of separately tuned specialists can be aggregated in
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