Checkpoint
Full Form: Model Checkpoint
Category: AI Infrastructure
📖 Definition
A checkpoint is a saved snapshot of a model's state during or after training. It captures all parameters, allowing training to resume or the model to be shared.
🔑 Key Points
- Saved state of a trained model
- Allows resuming interrupted training
- Different checkpoints represent different training stages
- Final checkpoint used for deployment
💡 Why It Matters
Checkpoints enable model sharing and continued training. They're how trained models are distributed and preserved.