Abstract: An example method of classifying user content based on a set of standards is described herein. The method includes receiving the user content, generating numeric representations of the user content, and identifying one or more standards of the set of standards applying to the user content based on a comparison of the numeric representation of the user content and numeric representations of the one or more standards.

Abstract: An item generation interface may generate knowledge assessment items directed a subject area based on a set of model items collectively directed to the subject area. The item generation interface may group the set of model assessment items into a plurality of similar item groups using numeric features corresponding to the model assessment items. Similar item groups may include model assessment items covering conceptually similar concepts within the subject area. A conditioning input may be generated for each of the item groups based on the numeric features corresponding to the model assessment items in the item group. Responsive to providing the conditioning inputs to a transformer-based natural language generation model, the item generation interface may receive raw assessment items from the transformer-based natural language generation model. Knowledge assessment items may be identified from the raw assessment items.

Abstract: A system permitting virtual server images to be reused and repurposed to provide for different application environments for performance-based testing by providing a plurality of virtual hard drive images.