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ENTITY Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

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    New RAPTOR framework enhances private training for MoE AI models

    Researchers have developed RAPTOR, a novel framework for differentially private training of Mixture-of-Experts (MoE) models. Existing methods treat these sparse models as dense blocks, leading to issues like gradient su…