Arxiv Papers

Scaling Laws for Fine-Grained Mixture of Experts


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Analysis of Mixture of Experts (MoE) models' scaling properties introduces a new hyperparameter, granularity, optimizing training configuration for computational efficiency over dense Transformers.


https://arxiv.org/abs//2402.07871


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Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016


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Arxiv PapersBy Igor Melnyk

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