Mixture of experts

A Mixture of Experts is a machine learning approach where multiple specialized models (experts) work together to solve complex problems. When a task is given, a control mechanism (gating system) decides which expert or combination of experts should handle it, based on the input data. Each expert specializes in certain types of inputs or problems, making the overall system more efficient and accurate. This collaborative method allows for scalable learning and better performance, especially in complex tasks, by leveraging the strengths of different specialized models within a unified framework.