Study Reveals Compute-Optimal Scaling is Skill-Dependent: Memory Needs Params, Reasoning Needs Data
ml_perception · x · 2026-08-20
A new arXiv paper, 'Compute Optimal Scaling of Skills: Knowledge vs Reasoning,' argues that compute-optimal scaling laws depend on the specific skill being trained. The research finds fundamental differences between knowledge-based tasks (like QA) and reasoning-based tasks (like code generation): memory tasks benefit more from parameters, while reasoning tasks require more data. Additionally, the study shows that a misspecified validation set can skew the compute-optimal parameter count by up to 50%.
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