Amazon SageMaker JumpStart adds fine-tuning support for models in a private model hub
AWS Machine Learning
MARCH 26, 2025
These enhancements include the ability to fine-tune SageMaker JumpStart models directly within the private hub, support for adding and managing custom-trained models, deep linking capabilities for associated notebooks, and improved model version management. Set up a Boto3 client for SageMaker: sm_client = boto3.client('sagemaker')
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