Document Understanding documentation, when using the "Export Now" tab in the Export Files dialog box within the Document Manager, the available options include:
* Download to Excel - This allows downloading the dataset locally in an Excel format.
* Export to AI Center - This exports the data directly to the AI Center for use in model training or evaluation.
* Export All - This option exports all documents regardless of labeling or filtering status.
These features are designed to facilitate exporting labeled data for further processing in AI Center, or locally for offline analysis

In UiPath AI Center, the platform supports several types of machine learning (ML) models, including:
* Out-of-the-box models from UiPath: Pre-built models designed for common automation tasks.
* Models from UiPath technology partners: External models developed by UiPath's partners.
* Open-source models: Community-contributed models that can be used and adapted for various use cases.
* Custom models: Models that users build and train specifically for their projects using their datasets.
This flexibility in model support ensures that organizations can leverage a wide range of machine learning capabilities to suit different automation needs.
For more details, refer to:
* UiPath AI Center Documentation: AI Center Models
* Machine Learning Model Types: Types of Models in UiPath AI Center

In the UiPath 2023.10 release, a key improvement introduced was the ability to record and store failed queue transactions for debugging purposes. This feature helps users by capturing the failure details and making them accessible directly in Orchestrator. The recording of failed transactions is enabled at the process level, within the Video section of the Job recording settings. It is intended to facilitate easier troubleshooting of failed automations by providing insights into the moments leading to the failure, which can be reviewed later for debugging