How Mixture of Experts Models Cut the Cost of Large-Scale Inference

https://brightquillio.com/s/v6DUJpFe-DubcgrWH1lu8

Mixture of Experts models reduce large-scale inference costs by activating only a subset of specialized expert networks per input. This sparse computation avoids running the full model, significantly lowering memory and processing demands while maintaining high performance on complex tasks.