Diverse Size Experts We introduce the Mixture of Diverse Size Experts (MoDSE) in Section 3, a new type of FFN layer designed for the MoE framework. Unlike conventional MoEs, which consist of experts of the same size, MoDSE has experts of different sizes.
Sep 18, 2024
Sep 18, 2024 · In this paper, we propose the Mixture of Diverse Size Experts (MoDSE), a new MoE architecture with layers designed to have experts of different ...
We propose Mixture of Diverse Size Experts (MoDSE), a new MoE architecture with designed layers where experts have different sizes.
Dec 20, 2024 · Analysis on difficult token generation tasks shows that experts with different sizes give better predictions, and the routing path of the ...
Sep 19, 2024 · The paper introduces a new deep learning architecture called Mixture of Diverse Size Experts (MoDSE) for large-scale machine learning tasks.
Sep 20, 2024 · Mixture of Diverse Size Experts. https://arxiv.org/abs/2409.12210 · 6:40 AM · Sep 20, 2024. ·. 69. Views.
Apr 9, 2024 · The Mixture of Experts model stands at the forefront of modern machine learning, offering a sophisticated approach to dealing with complex datasets.
This work proposes Mixture of Diverse Size Experts (MoDSE), a new MoE architecture with designed layers where experts have different sizes, ...
Mar 14, 2024 · A mixture of experts is an architectural pattern for neural networks that splits the computation of a layer or operation (such as linear layers, MLPs, or ...
Apr 12, 2024 · MoE architectures combine the capabilities of multiple specialized models, known as experts, within a single overarching system. The idea behind ...