AI Jargon Buster
AI news and the language around it, simplified.
What is a Mixture of Experts (MoE)?
Mixture of Experts is an AI architecture design where a large model is broken down into many smaller, specialized sub-networks called experts. Instead of activating the entire massive model for every single request, the system uses a router to select only the most relevant experts needed to handle that specific task. Think of it like a large hospital. Instead of having every doctor in the building attend to every patient, the front desk acts as a router. It directs the patient only to the specific specialist, such as a cardiologist or a radiologist, who has the right expertise to solve their problem. This makes the system efficient because it avoids wasting energy on parts of the model that are not needed for a specific question.
Why this matters to you
This approach allows AI models to become much more powerful and knowledgeable without becoming impossibly slow or expensive to run. For businesses, this means you can get higher-quality, more accurate AI responses while keeping operational costs and energy consumption lower than if you were using a single, monolithic model that tries to do everything at once.
How you might hear this
Our new software update uses a Mixture of Experts approach to ensure that complex data analysis tasks are handled faster while keeping our monthly cloud computing costs stable.
AI Jargon Buster
Search any AI term, explained in plain English.
Type a term below and search. You will be taken straight to the tool.
Related terms
See how your CV performs against the ATS algorithms that screen candidates before a human ever reads your application.
Try the CV Optimiser →How AI job displacement actually works, what it means for your career, and what to do about it. Written by someone who has been in recruitment for 25 years.
When the Ground Shifts →