Glossary · AI
What is
Mixture of Experts (MoE)?
An architecture where each forward pass routes tokens through a subset of "expert" sub-networks.
By Anish· Founder · Vedwix
·Definition
MoE models contain many expert sub-networks; for each token, a router picks the few most relevant experts. The result is a model with very high parameter count but lower per-token compute than a dense model of equivalent size. Mixtral, DeepSeek-MoE, and Grok-1 are notable open MoE models.
Example
Mixtral 8x7B has 46.7B total params but only ~13B active per token — like a 13B model with broader knowledge.
How Vedwix uses Mixture of Experts (MoE) in client work
Useful when serving a wide range of tasks. Less efficient on a single narrow task than a dense fine-tune.
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