打个比方，LLM像是“未出山前的诸葛亮”，善于分析，以“隆中对”和刘备对谈，出谋划策，但限于“纸上谈兵”；智能体则是“出山后的诸葛亮”，掌握全局情报，运筹帷幄，组织资源、调兵遣将，亲自率军北伐。
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Muon outperforms every optimizer we tested (AdamW, SOAP, MAGMA). Multi-epoch training matters. And following work by Kotha et al. , scaling to large parameter counts works if you pair it with aggressive regularization -- weight decay up to 16x standard, plus dropout. The baseline sits at ~2.4x data efficiency against modded-nanogpt.
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