Mixture of Experts

Sparse Mixture of Experts: Scaling Language Models Efficiently

SMoE activates only a subset of parameters per token, enabling massive model capacity with constant compute. Learn about routing mechanisms, load balancing, and deployment.

Soft Mixture of Experts SoftMoE: Beyond Hard Expert Selection

SoftMoE transforms sparse MoE by using differentiable soft assignments instead of hard routing. Learn how this approach achieves the best of both worlds: the efficiency of sparse computation with the training stability of dense models.

Mixture of Experts (MoE): Scaling Large Language Models Efficiently

Master Mixture of Experts algorithms that enable massive model capacity through sparse activation, powering systems like GPT-4 with efficient computation.