All glossary terms
conceptsadvanced

Scaling Laws

The observation that model performance improves predictably with scale (data, compute, parameters).

In more detail

Chinchilla, Scaling Laws for Neural Language Models papers showed predictable scaling. More data, compute, and parameters lead to better performance (often power law). Guides investment in model development.

Examples

  • GPT-3 scaling results
  • Chinchilla optimal scaling
  • Compute-optimal models
  • Predicting model performance

Related terms

Large Language ModelModel CapacityEmergence
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