Training large-scale transformers stably has been a longstanding challenge in deep learning, particularly as models grow in size and expressivity. MIT researchers tackle a persistent problem at its root: the unstable growth of…
MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon
