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What is Sparsely-Gated Mixture-of-Experts Layer about?

This paper introduces the Sparsely-Gated Mixture-of-Experts (MoE) layer, which significantly enhances the capacity of neural networks by enabling conditional computation, achieving over 1000x improvements in model capacity with minimal computational efficiency loss. The MoE consists of numerous feed-forward sub-networks, with a gating network selecting a sparse combination of experts for each input, applied effectively in language modeling and machine translation tasks. The authors address various performan

Author

현지

Language

EN