Mixture of Experts
An AI architecture that uses multiple specialized models working together, with a router deciding which ones to apply.
In Plain English
A Mixture of Experts system contains many smaller AI models, each trained to excel at different tasks or patterns—think of them as specialized consultants. A separate component, called a gating mechanism or router, examines incoming data and decides which experts to activate for that particular input. This approach can be more efficient and flexible than a single large model, because you only run the experts you need. It's similar to how a law firm might route a case to different departments based on the type of problem.
💡Real-World Example
A customer service company uses a Mixture of Experts model where one expert specializes in billing questions, another in technical support, and a third in returns. When a customer message arrives, the router identifies it as a billing issue and activates only the billing expert, saving computation time and providing more accurate responses than a single general-purpose model would.
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