New Features

Platform for AI (PAI) - DLC Job template

Distributed training DLC allows you to add Job templates for different directions in experiment scenarios, pre-fill configuration values, lock Key and error-prone configurations, define Job description paradigms, and use templates to accumulate Job commit experience and archive Jobs in the same experiment direction. This improves Job and model iteration Efficiency.
Content

Applicable customers: All customers. New Feature/Specification: Compared with directly cloning Jobs, you can consolidate Best Practices into Job templates to retain and reuse standard flows for Teams to quickly access and manage in a unified manner. Support locking template configurations, such as variable control for hyperparameter tuning experiments. This ensures that Jobs created from templates have a consistent base environment. Users can focus on adjusting the parameters they follow, avoiding introducing variables that interfere with experiments.

Help Document

https://www.alibabacloud.com/help/zh/pai/user-guide/use-task-templates-and-comparisons-to-improve-tuning-efficiency

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