This section outlines the essential components and settings required to initiate and customize your Large Language Model (LLM) training processes using SageMaker HyperPod. This section covers the key repositories, configuration files, and recipe structures that form the foundation of your training jobs. Understanding these default configurations is crucial for effectively setting up and managing your LLM training workflows, whether you're using pre-defined recipes or customizing them to suit your specific needs.
Did this page help you? - Yes
Thanks for letting us know we're doing a good job!
If you've got a moment, please tell us what we did right so we can do more of it.
Did this page help you? - No
Thanks for letting us know this page needs work. We're sorry we let you down.
If you've got a moment, please tell us how we can make the documentation better.
Next topic:
Github RepositoriesPrevious topic:
Trainium SageMaker training jobs pre-training tutorialNeed help?
PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.