About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
What is Mixture of Experts?
Related Media
In this video, Master Inventor Martin Keen explains the concept of
Mixture of Experts (MoE), a machine learning approach that divides an AI
model into separate subnetworks or experts, each focusing on a subset
of the input data. Martin discusses the architecture, advantages, and
challenges of MoE, including sparse layers, routing, and load balancing.
- Tags
- Appears In
Loading