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公开(公告)号：US20250156652A1
公开(公告)日：2025-05-15
申请号：US18508428
申请日：2023-11-14
Applicant: SAP SE
Inventor： Yi Quan Zhou , Prawira Putra Fadjar , Bee Huang Tan , Kham Sian Mung , Jing Li
Abstract: Methods, systems, and computer-readable storage media for generating a detection prompt at least partially based on unstructured data determined from one or more of a query entity and a target entity, determining an unstructured data pattern vector that is representative of an output of a LLM that is responsive to the detection prompt, providing a data pattern metric based on the unstructured data pattern vector, generating an explanation prompt at least partially based on the inference result, determining a correctness result that is representative of a correctness of the inference result using explanation text that is generated by the LLM, in response to determining that there is a threshold decrease in accuracy at least partially based on the correctness result, automatically executing one of fine-tuning of the ML model and re-training of the ML model to provide an adapted ML model.
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