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Sparse Mixture Model

A sparse mixture model is a neural network design in which only a small subset of the model's parameters are activated for any given input, rather than the entire network running on every token — the term overlaps closely with Mixture of Experts (MoE), the dominant technique for achieving this sparsity in modern large…

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