Unverified60% confidenceFactExact time
The MoE (Mixture of Experts) architecture was first proposed by Hinton's team in 2017, dynamically selecting Top-K expert sub-networks to participate in computation through a gated routing network.
2
Sources
60%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
GPT-5.6 vs Grok 4.5 on the Same Day: A Packed Week of Flagship AI Model Launches
bilibiliMowaaaa7/8/2026
Related Claims
UnverifiedMoE架构由多个专家子网络和一个路由器组成，路由器根据输入token动态选择少数几个专家参与计算，DeepSeek V2/V3、Mixtral 8x7B、Google Gemini 1.5均采用这一架构78% similarVerifiedThe Mixture of Experts (MoE) architecture was scaled up within the Transformer framework by Google Brain in 2017; its core idea is to group model parameters into multiple expert sub-networks, with only a small subset activated during each inference.72% similarVerifiedGoogle systematized the Mixture of Experts architecture design in its 2017 Sparsely-Gated MoE paper.67% similarUnverifiedThe MoE architecture was founded on a Google paper from 2017; it dynamically assigns tokens to a small number of expert sub-networks via a routing network, and Qwen 3.5 122B has 122B total parameters but activates only approximately 22B during each inference.67% similarUnverified混合专家架构(MoE)的思路源于1991年的学术研究，近年被Mistral、DeepSeek、Google(Gemini 1.5)等广泛采用66% similar
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