Verified90% confidenceFactTime unknown
The MoE architecture divides a model's internals into multiple expert sub-networks, with a gating network dynamically selecting a small number of experts to participate in computation during each inference, so that the actual number of activated parameters is far smaller than the total parameter count.
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90%
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6/1/2026
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Verified1.6万亿参数级别的巨型模型通常采用混合专家架构(MoE),每次推理只激活一小部分专家子网络85% similarUnverifiedMoE模型在处理每个token时仅由路由器动态选择少数专家子网络参与计算,其余专家保持休眠84% similarUnverifiedThe core innovation of the Mixture of Experts (MoE) architecture lies in conditional computation, whereby a gating network dynamically selects a small number of experts to participate in computation rather than activating all parameters.84% similar
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