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arxiv.org/abs/2406.10125Sidenote
arXiv2406.10125cs.LG

Sparse Mixture-of-Experts at inference

arXiv · 2406.10125 · cs.LG

The router sends each token to its top-k experts. Only the selected experts run, so compute scales with k, not the total number of experts — which is what keeps the model cheap to serve.

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A load-balancing loss stops the router collapsing onto a few experts during training.

sidenoteTrialStore
Sparse Mixture-of-Experts at inference
Cached88 chunksStore
SummariseChatExplainGlossary
“compute scales with k, not the total number of experts”
Like I'm 12Like I'm 16Layperson
Each token only uses k experts, so the cost depends on k — not how many experts exist. You can add experts to grow capacity without making each token more expensive, as long as the router spreads load evenly.
PDF · arXiv 2406.10125v1.12.0
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Highlight any sentence, term or paragraph in a document you're reading and Sidenote explains it in plain language — without leaving the page. The explanation is grounded in the passage you select and the text around it, so it reflects what your document actually means rather than a generic definition.
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