- Release Notes
- Before you begin
- Getting started
- Projects
- Datasets
- ML packages
- Pipelines
- ML Skills
- ML Logs
- Document Understanding in AI Center
- How To
- Basic Troubleshooting Guide
About AI Center
AI Center™ is an application that allows you to deploy, manage, and continuously improve Machine Learning models and consume them within RPA workflows in Studio.
https://${CONFIG_CLUSTER_FQDN}/ai-app
. Once installed, AI Center licenses must a assigned to a tenant for use.
For more information, check the Accessing AI Center™ page.
AI Robot
for licensing.
AI Robot
is the runtime for serving ML Skills (machine learning models available for robots to make prediction requests) and run ML
Training jobs (training a new model version on new data to).
One AI Robot can serve two ML Skills or run one ML training job concurrently. Any user connected to the Orchestrator instance can access ML Skills.
AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run. These models can be deployed or instantiated for retraining with a few clicks (see this section).
Using a Document Understanding model involves these steps:
- Collect document samples and the requirements of the data points that need to be extracted.
- Label documents using Data Manager. Note Data Manager itself will connect to an OCR Engine.
- Export labeled documents as a Training data set and upload that exported folder to AI Center Storage.
- Export labeled documents as a Testing data set and upload that exported folder to AI Center Storage.
- Run a Training Pipeline on AI Center .
- Evaluate the model performance with an Evaluation Pipeline on AI Center.
- Deploy the trained model as an ML Skill in AI Center.
- Query the ML Skill from an RPA Workflow using the
Document Understanding activity pack.
Important: Remember that using Document Understanding models require that the machine on which AI Center is installed can access
https://du-metering.uipath.com
.