Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
PositiveArtificial Intelligence
A new method for training Mixture of Experts (MoE) models shows promise by providing dense gradient updates, which could enhance stability and performance. This approach addresses the challenges of sparse updates in MoE pretraining, making it a significant advancement in machine learning.
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