<ul data-eligibleForWebStory="true"><li>Mixture-of-Experts (MoE) layers activate only a fraction of the feed forward network per token compared to Dense Transformers, resulting in computational efficiency and model capacity enhancement.</li><li>MoE architecture consists of Experts and a Router or Gating Network to enhance model efficiency.</li><li>A key component of MoE is Noisy Top-K Gating, a mechanism routing input tokens to a subset of experts based on learned noise, promoting load balancing and exploration.</li><li>Maintaining an optimal Computation-to-Communication Ratio in MoE models, achieved through increasing hidden layer size, is crucial for scaling across data centers efficiently, overcoming network bandwidth limitations.</li></ul>

Demystifying Mixture-of-Experts (MoE) Layers

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