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AI21 Labs Cuts LLM Online-RL Training Time by 70% with Padding Minimization

1/5 As part of our work on improving the efficiency of our LLM online-RL training pipelines, we cut policy update step time by ~70% by introducing a model-agnostic padding minimization method.

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