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The core advantage of the MoE (Sparse Mixture of Experts) architecture is that it significantly reduces the computational cost of a single inference through sparse activation while maintaining a large parameter count; the architectural concept can be traced back to research by Jacobs et al. in 1991
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9/6/2026
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UnverifiedThe core idea of the MoE architecture originates from the conditional computation theory proposed by Jacobs et al. in 1991.77% similarUnverifiedMoE（混合专家）架构源自1990年代Jacobs和Jordan的工作63% similarUnverified约束传播的思想最早可追溯至1970年代阿兰·马克沃斯对弧一致性算法的研究61% similarUnverifiedThe theoretical foundation of the minimax algorithm can be traced back to von Neumann's minimax theorem of 1928.61% similarUnverifiedMoE架构最早由Shazeer等人于2017年在"Outrageously Large Neural Networks"论文中系统化提出61% similar
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