Mixture of Experts (MOE) is a machine learning technique that involves training multiple models, each becoming an ‘expert’ on a portion of the input space. It is a form of ensemble learning where the outputs of multiple models are combined, often leading to improved performance.

• Natural Language Processing
• Computer Vision
• Speech Recognition
• Recommendation Systems
• Fraud Detection

For example, in natural language processing, a Mixture of Experts model could be trained with multiple sub-models, each specialized in different aspects of language such as syntax, semantics, and pragmatics. The outputs of these sub-models are combined to generate more accurate and informative representations of language.

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