What Is Mixture of Experts? MoE Architecture in 7 Key Facts
Last updated: April 2026 Mixture of Experts (MoE) is a neural network architecture that splits each feed-forward layer into multiple parallel “expert” sub-networks and routes every input token to only 1–2 of them. The result is a sparse model: total parameter count can reach hundreds of billions, but compute per token stays equivalent to a … Read more