The following changes were made in ADS 2.8.8:

• Added PyTorchDistributed runtime option for Data Science jobs to add support for training large language models with PyTorch.
• Added options to configure flexible shape in opctl.
• Refactored deploy() in GenericModel to prioritize the parameters.
• Fixed the opctl commands delete/cancel/watch/activate/deactivate commands to add missing parameter options.
• Fixed the opctl commands to call run to start an ML job when no YAML is specified.
• Deprecated the DatasetFactory class, and refactored the code.

For more information, see Data Science and take a look at our Data Science blog.