Which ML component is used to pre-label documents using an existing model?

The UiPath Document Manager is specifically designed to handle the pre-labeling of documents using an existing machine learning model. It allows users to leverage trained models to annotate documents automatically, which streamlines the process of data preparation for further analysis or training. By using the Document Manager, organizations can improve efficiency and reduce manual errors associated with the labeling process.

Other components like ML Packages, Datasets, and ML Skills serve different purposes within the UiPath environment. ML Packages provide a way to encapsulate machine learning models and their dependencies, while Datasets are collections of data used for model training and evaluation. ML Skills refer to the capabilities or functionalities that a trained model can perform in UiPath. However, when it comes to the task of pre-labeling documents, the UiPath Document Manager is the dedicated tool suitable for this specific function.