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Mixture of Experts

MoE

A Mixture of Experts model contains several specialised parts and sends each task to only the parts most suited to it.

Explained simply

A Mixture of Experts model contains several specialised parts and sends each task to only the parts most suited to it.

1Input
2Router
3Selected experts
4Combined output

At a glance

Category
Models
Difficulty
Advanced
Introduced
1991

Real example

A model sends a coding question to parts specialised in code instead of using every part of the model.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind Mixture of Experts begin developing.

1991

Mixture of Experts becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Mixture of Experts becomes connected to newer AI systems and products.

Today

Mixture of Experts remains relevant in the models area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Simple infographic

A quick visual way to understand Mixture of Experts.

1Input
2Router
3Selected experts
4Combined output
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