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Mixture of Experts (MoE)
AI Glossary Term
What is Mixture of Experts (MoE)?
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 Serving
Mixture-of-Agents Aggregation
Mixture of Depths
Mixture of LoRA Experts
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