公开(公告)号：US20250111289A1

公开(公告)日：2025-04-03

申请号：US18478817

申请日：2023-09-29

Applicant: Microsoft Technology Licensing, LLC

Inventor： Bhuvan MALLADIHALLI SHASHIDHARA ,  Chengcheng LI ,  Devin John KREUZER ,  Priyadarshini VENKATRAMANI ,  Tanuja MACHINENI ,  Joseph John PFEIFFER ,  Qiangqiang ZHU

IPC: G06N20/20

Abstract: The disclosure describes a subjective data application system that utilizes large generative models (LGMs) to leverage unlabeled and poorly labeled subjective data. The subjective data application system utilizes multiple instances of LGMs as label functions, which in turn creates a dependable training dataset from a collection of unlabeled subjective data. By using this reliable training data, the subjective data application system develops and trains lightweight, computationally efficient, generative models. These models are then employed to process subjective data with accuracy and speed in real-time or online applications.