Label Smoothing is part of modern model training practice. Teams use it to scale optimization, stabilize learning, align with preferences, or reduce compute and memory bottlenecks.
AI Glossary
Label Smoothing
Coverage in development
Label Smoothing is part of modern model training practice. Teams use it to scale optimization, stabilize learning, align with preferences, or reduce compute and memory bottlenecks.
Definition
Plain English explanation
Label Smoothing affects how models learn during the training phase.
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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