Abstract: Systems and methods are provided for implementing quality assurance for digital technologies using language model (“LM”)-based artificial intelligence (“AI”) and/or machine learning (“ML”) systems. In various embodiments, a first prompt is provided to an LM actor or attacker to cause the LM actor or attacker to generate interaction content for interacting with test software. Responses from the test software are then evaluated by an LM evaluator to produce evaluation results. In some examples, a second prompt is generated that includes the responses from the test software along with the evaluation criteria for the test software. When the second prompt is provided to the LM evaluator, the LM evaluator generates the evaluation results.

Abstract: Techniques of selective surfacing email messages in computing systems are disclosed herein. In one embodiment, a method includes calculating an importance value corresponding to an incoming email based on one or more values of attributes of the incoming email and corresponding contribution values of the features toward the importance value. The method can then include performing a comparison between the calculated importance value of the incoming email and a preset importance threshold and, based on the performed comparison, selectively surfacing the incoming email to the user in a first section of an email inbox irrespective of a date/time of reception of the incoming email relative to other emails in the inbox.