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Achieving a 32% reduction in energy consumption while cutting waiting times by 30% could redefine operational efficiency in data centers powered by LLMs.
Flow-based imitation learning can be significantly improved by distilling both rewards and actions on-policy, enabling more robust and generalizable policies, especially with limited or noisy demonstrations.