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AI & Machine Learning · Advanced

Scaling Laws

Empirical relationships showing model loss improves predictably with more parameters, data and compute.

Definition

Scaling-law research (for example the Chinchilla results) guides how to balance model size and training tokens for a compute budget. Inference-time or test-time compute scaling is a newer complementary axis.

Exam tip

Scaling laws predict loss improvements from more compute, data and parameters, guiding training budgets.

Related terms