ai-center
2023.4
false
- Release Notes
- Before you begin
- Getting started
- Installing AI Center
- Migration and upgrade
- Projects
- Datasets
- Data Labeling
- ML packages
- Out of the box packages
- Pipelines
- ML Skills
- ML Logs
- Document UnderstandingTM in AI Center
- AI Center API
- How to
- Licensing
- Basic Troubleshooting Guide
AI Center User Guide
Last updated Oct 22, 2024
2023.4.1
Release date: 27 June 2023
- This release brings several accessibility and security improvements.
- AI Computer Vision is now public by default when deployed in AI Center.
- 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.
- You can now choose if an ML Skill is private or public when creating the ML Skill.
- You cannot add a value lower than 0.5 for CPU when creating a new ML Skill.
When deploying AI Center in Automation Suite on your AKS/EKS clusters, if you decide not
to install Prometheus (either bundled with Automation Suite or your own) or if you
install your own Prometheus in a namespace different than
monitoring
,
the following features are not supported:
- Prediction count for ML Skills: it would always show 0
- Automatic undeployment of idle skills