#Muon optimizer

MIT researchers have developed a method to stabilize large transformer training by enforcing Lipschitz bounds through spectral weight regulation and the Muon optimizer, eliminating the need for traditional normalization techniques.

Microsoft researchers demonstrate that the Muon optimizer drastically speeds up grokking in Transformer models, enabling faster transition from memorization to generalization compared to AdamW.