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Home/Glossary/Mixture of Experts (MoE)
AI Glossary Term

What does “Mixture of Experts (MoE)” mean?

Definition

An architecture with specialized subnetworks where only selected experts run per input.

Related terms

Classification
A task where a model assigns an input to one or more predefined categories.
Sliding Window Attention
An attention pattern where each token attends only to a fixed-size window of nearby tokens to reduce compute.
Attention Mechanism
A model component that dynamically focuses on relevant parts of an input when producing an output.
Chain-of-Thought
A reasoning style where an AI model decomposes a problem into intermediate steps.
CLIP
A multimodal model architecture that learns shared representations between text and images.
Compute
The processing resources required to train and run models, often measured in FLOPS or GPU hours.

Learn more in our free guides

Expert Parallelism for MoE ServingMixture-of-Agents AggregationMixture of DepthsMixture of LoRA Experts

See also

Memory (Agent Memory)Model CardMachine Learning (ML)Model DriftLoss FunctionModel QuantizationLoRA (Low-Rank Adaptation)Multimodal Model
PreviousMemory (Agent Memory)NextModel Card
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