AI Center
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AI Center
Last updated Feb 22, 2024

June 2023

19 June

Improvements

All ML Skills are now retrieved when using the GET: /v1/mlskills API call.

6 June

What's New

Pipeline display name

You can now add a display name for your pipelines.



New APIs

This release brings two new APIs:
  • Upload custom model
  • Cancel running pipeline

For the full list of available APIs, check the AI Center Permissions list page.

Improvements

  • This release brings several accessibility improvements.
  • As part of improving product stability, there are now multiple clusters in some regions. This can lead to changes in domain names and URLs for ML Skills that are made available via public URL. For more information, check the Accessing AI Center™ section.
  • Streaming logs are now disabled for community tenants.
  • The Send to labelers button from the Labels tab in the Data Labeling window is now called Go to Action Center. You can click this button to go straight to the Data Labeling search filter in Action Center pending tasks.
  • The Export dataset button from the Export tab in the Data Labeling window is now called Export files to dataset. A new Go to dataset button is added in the same page.
  • You can now check the failed validation error of a label. To do so, hover your mouse over the Validation Failed status of a label from the Labels tab in the Data Labeling window.
  • The current configuration is now displayed in the Configure tab in the Data Labeling window.
  • You can now access the original data in the labeling output.
  • You cannot add a value lower than 0.5 for CPU when creating a new ML Skill.
  • You can now choose if an ML Skill is private or public when creating the ML Skill.

Bug Fixes

  • Fixed an issue where audit logs with a content higher than 16,000 could not be published.
  • Fixed an issue where ML Skills deployments were failing after model version updates.
  • Fixed an issue where ML packages were stuck validating when uploading packages.
  • Fixed several issues in order to avoid out-of-memory errors when training Document Understanding models.
  • Fixed an issue where calling ML Skill private endpoints ocassionaly failed.
  • Fixed an issue where an incorrect error message was displayed for invaling project creation.
  • Fixed an issue where datasets containing file names with special characters were failing.

When can I see these changes?

The date when a change is first announced in the release notes is the date when it first becomes available.If you don't see the change yet, you can expect to see it soon, after we roll out changes to all the regions.

  • 19 June
  • Improvements
  • 6 June
  • What's New
  • Improvements
  • Bug Fixes
  • When can I see these changes?

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