Description
本期播客深入探讨了Muon优化器在大规模语言模型训练中的应用。Moonshot AI团队分享了他们如何通过添加权重衰减和调整参数更新尺度，成功将Muon扩展到3B/16B参数的MoE模型Moonlight的训练中。实验表明，与AdamW相比，Muon在计算效率上提高了约2倍。此外，播客还讨论了Muon的分布式实现，以及在预训练和监督微调阶段的表现。
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