Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each
MoE architecture optimizes parameter usage in large models.
The article discusses the advantages of Mixture-of-Experts (MoE) architecture over dense models in optimizing parameter usage. With MoE, large models can activate only a fraction of their parameters for each token, potentially improving efficiency and performance.