A checkpoint is a saved snapshot of model weights (and often optimizer state) during or after training.
AI Glossary
Checkpoint
Coverage in development
A checkpoint is a saved snapshot of model weights (and often optimizer state) during or after training.
Definition
Plain English explanation
A save file you can reload to continue training or deploy a model version.
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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