AI Systems

Mixture of Experts, explained

Mixture of Experts is a model architecture that routes inputs to a subset of specialized expert networks instead of activating every parameter.
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Part of the Semantic Notion technical glossary.

Short Definition

Mixture of Experts is a model architecture that routes inputs to a subset of specialized expert networks instead of activating every parameter.

Intuition

The model carries many specialists, but only a few are consulted for each token or example.

Technical Definition

MoE layers use a router or gating function to select expert subnetworks conditionally, increasing total capacity while controlling active compute.

Example

Inkling has many total parameters but activates only a subset for each token through expert routing.

Common Misunderstandings

Total parameters and active parameters are different in sparse MoE models.
MoE adds routing and load-balancing complexity.

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