公开(公告)号：US20250117663A1

公开(公告)日：2025-04-10

申请号：US18480635

申请日：2023-10-04

Applicant: SAP SE

Inventor： Rajesh Vellore Arumugam ,  Donglin Ruan ,  Matthias Frank ,  Yi Quan Zhou

IPC: G06N3/0895

Abstract: Methods, systems, and computer-readable storage media for training a global matching ML model using a set of enterprise data associated with a set of enterprises, receiving a subset of enterprise data associated with an enterprise that is absent from the set of enterprises, fine tuning the global matching ML model using the subset of enterprise data to provide a fine-tuned matching ML model. deploying the fine-tuned matching ML model for inference, receiving feedback to one or more inference results generated by the fine-tuned matching ML model, receiving synthetic data from a LLM system in response to at least a portion of the feedback, and fine tuning one or more of the global matching ML model and the fine-tuned ML model using the synthetic data.