Mixture of experts

Mixture of experts (MoE) divides problem space into homogeneous regions

Mixture of experts (MoE) is a machine learning technique that employs multiple expert networks to partition a problem space into regions where each expert is highly specialized. This specialization allows MoE to achieve better performance by leveraging the strengths of each expert for different parts of the data.

Example

In natural language processing, MoE can be used to classify sentences by assigning different experts to handle specific linguistic features, such as syntax, semantics, or sentiment.

Remember this

MoE improves model performance by utilizing the expertise of multiple networks, leading to more accurate and efficient predictions.

Text adapted from Wikipedia, licensed under CC BY-SA 4.0.

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