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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.

ExplainLike I'm 12Like I'm 16Layperson

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

sidenoteTrialStore
Sparse Mixture-of-Experts at inference
Cached88 chunksStore
SummariseChatExplainGlossaryFindNotes
“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 2406.10125v2.10.0
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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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