Mixture of Experts (MoE)
LLM & Language ModelsAn architecture where a model consists of multiple specialized sub-networks (experts), with a routing mechanism that activates only the relevant experts for each input.
Mixture of Experts is an architecture that makes large models more efficient. Instead of one giant network processing every input, MoE uses multiple smaller 'expert' networks and a router that selects which experts to activate for each token.
GPT-4 is widely rumoured to use MoE with roughly 8 experts and 2 active per token, and to total around 1.8 trillion parameters — but OpenAI has never published the architecture, so those figures come from unverified reports and should be read as rumour, not spec. The principle they illustrate is real: in an MoE only a fraction of the parameters are active for any given input, making inference much cheaper than a dense model of the same total size.
MoE enables models to be very large (lots of total knowledge) without being proportionally expensive to run. Mixtral (Mistral's MoE model) demonstrated that an open-source MoE model could compete with much larger dense models at a fraction of the compute cost.
Real-World Example
GPT-4 is rumoured to use a Mixture of Experts architecture — it has many specialized sub-networks but only activates a few for each response. This makes it efficient despite its massive size.
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What is Mixture of Experts (MoE)?
An architecture where a model consists of multiple specialized sub-networks (experts), with a routing mechanism that activates only the relevant experts for each input.
How is Mixture of Experts (MoE) used in practice?
GPT-4 is rumoured to use a Mixture of Experts architecture — it has many specialized sub-networks but only activates a few for each response. This makes it efficient despite its massive size.
What concepts are related to Mixture of Experts (MoE)?
Key related concepts include LLM (Large Language Model), Transformer, Parameters, Inference. Understanding these together gives a more complete picture of how Mixture of Experts (MoE) fits into the AI landscape.