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ForeMoE achieves a remarkable 1.45脳 speedup in RL post-training by anticipating load imbalances, transforming how we manage expert resources in large language models.
Achieve 1.69x faster Mixture-of-Experts training by dynamically re-arranging expert parameters to balance load across devices.
