Iterative training

Iterative training allows you to develop more sophisticated training pipelines to tune Amazon Nova models. By chaining training modules, you're able to layer training techniques to customize your models exactly to your needs.

To begin, you start by training Amazon Nova using one of the techniques described in SageMaker AI HyperPod training. In the output S3 location defined during training, locate the manifest.json file. This file contains the value checkpoint_s3_bucket that indicates where the output model is defined. You can utilize this output location as the model_name_or_path value in future training runs.

For detailed instructions about using iterative training with Amazon Nova model customization, see the Iterative training section from SageMakeruser guide.