Equation 31 · Dense, Sparse, and Distilled: Comparing Approaches to Frontier Model Capacity
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Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.
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Symbol barc_inf
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subscript
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What the article says around this equation
with Q requests over the model’s life. When Q is small — a research artefact, an internal tool — the training term dominates and compute-optimal allocation is the right target. When Q is very large, the second term dominates by orders of magnitude, and every technique that reduces pays back continuously while every technique that reduces pays back once.
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