Regularization techniques constrain model complexity or training dynamics to reduce overfitting and improve generalization.
AI Glossary
Regularization
Coverage in development
Regularization techniques constrain model complexity or training dynamics to reduce overfitting and improve generalization.
Definition
Plain English explanation
You add guardrails so the model cannot memorize every quirk in the training set.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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