Equation 32 · Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared
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with G(x) a learned gating distribution over experts. Compute per token scales with the active fraction k/E , not with the total parameter count — the whole strategy in one line.
Sources cited in the article section
- [11] Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗
- [12] Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity ↗
- [13] Mixtral of Experts ↗
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