Self-supervised learning creates training signals from the data itself (for example predicting masked tokens) so models can pretrain without human labels.
AI Glossary
Self-Supervised Learning
Coverage in development
Self-supervised learning creates training signals from the data itself (for example predicting masked tokens) so models can pretrain without human labels.
Definition
Plain English explanation
The model invents practice tasks from raw data—like filling in blanks—so it can learn useful representations.
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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