A loss function quantifies the difference between model predictions and targets, providing the signal that training seeks to minimize.
AI Glossary
Loss Function
Coverage in development
A loss function quantifies the difference between model predictions and targets, providing the signal that training seeks to minimize.
Definition
Plain English explanation
It is the score that says how wrong the model is so training knows what to improve.
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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