Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry
Machine Learning Blog
This article discusses how to effectively manage foundation models for generative AI applications using Amazon SageMaker Model Registry.
Specifically, the article covers:
- An overview of managing foundation models using SageMaker Model Registry
- New ModelDataSource feature to register unzipped models and accept EULAs without user intervention
- New SourceModelURI feature to simplify registration and support proprietary models
- Example workflows and code snippets demonstrating the new features
- The benefits of using Model Registry for version control, tracking, collaboration, and governance of foundation models
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Oct 22
2024
2024
Generative AI foundation model training on Amazon SageMaker
Nov 12
2024
2024
Amazon SageMaker Model Registry now supports defining machine learning model lifecycle stages
Jun 6
2024
2024
Amazon SageMaker Model Registry now supports machine learning (ML) governance information
Jul 10
2025
2025
Amazon SageMaker HyperPod launches model deployments to accelerate the generative AI model development lifecycle
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.