Efficient Large Scale Language Modeling with Mixtures of Experts

[argosopentech]

Efficient Large Scale Language Modeling with Mixtures of Experts

I think mixture of expert models are a really promising area. Argos Translate currently essentially works as a mixture of expert model by choosing a language model based on source and target language. Choosing an expert from network weights might work even better.

[argosopentech]

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Mixture-of-Experts with Expert Choice Routing

Sparsely-activated Mixture-of-experts (MoE) models allow the number of parameters to greatly increase while keeping the amount of computation for a given token or a given sample unchanged. However, a poor expert routing strategy (e.g. one resulting in load imbalance) can cause certain experts to be under-trained, leading to an expert being under or over-specialized. Prior work allocates a fixed number of experts to each token using a top-k function regardless of the relative importance of diff…

Mixtral open source LLM by Mistral AI

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