Abstract: A collaboration platform provides a collaboration user interface (“UI”) through which a user can request a recommendation of an artificial intelligence (“AI”) model for performing entity extraction on documents in a document library maintained by the collaboration platform. In response to receiving such a request, the collaboration platform can select candidate documents from the documents in the library and process the candidate documents using AI models configured to extract entities from the one or more documents. The collaboration platform can then select one of the AI models based on the processing. The collaboration platform can also provide functionality for performing automated document tagging using term sets on documents maintained by the collaboration platform.

Abstract: Techniques configuring a machine learning model include instantiating a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform. A selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model are received and sent to the machine learning model. A selection of one or more directories and an instruction to apply the machine learning model are sent to the machine learning model.

Abstract: Techniques configuring a machine learning model include instantiating a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform. A selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model are received and sent to the machine learning model. A selection of one or more directories and an instruction to apply the machine learning model are sent to the machine learning model.