Reducing False Positives in AI Proctoring with LLM-Based Contextual Analysis
0 likes | 1 Vues
In this PDF, we explore how the integration of Large Language Models into AI proctoring systems represents a significant advancement in reducing false positives and enhancing the fairness of remote assessments. As the demand for online education grows, EnFuse Solutions is leading this transformation by offering proctoring services that combine human oversight with advanced AI and LLM-based contextual analysis. Visit here to explore more: https://www.enfuse-solutions.com/services/proctoring-services/live-proctoring
Télécharger la présentation 
Reducing False Positives in AI Proctoring with LLM-Based Contextual Analysis
An Image/Link below is provided (as is) to download presentation
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.
Content is provided to you AS IS for your information and personal use only.
Download presentation by click this link.
While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
During download, if you can't get a presentation, the file might be deleted by the publisher.
E N D
Presentation Transcript
More Related