Topic: parallelism

A new method in reinforcement learning post-training uses elastic expert parallelism to address the computational bottleneck by allowing idle workers to take on additional tasks, making the process more resource-efficient. This advancement is crucial as it enhances the capabilities of large language models while reducing energy consumption and processing time.

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