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公开(公告)号:US20250086735A1
公开(公告)日:2025-03-13
申请号:US18427275
申请日:2024-01-30
Applicant: Salesforce, Inc.
Inventor: Sundar Ram Vedula , Rajdeep Dua , Akash Singh , Amit Kumar Dash , Nimesh Gupta , Sourav Sipani , Ajay Singh , Khyati Garg , Sree Harini Soma
IPC: G06Q50/18
Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may support a machine learning model for legal clause extraction. The machine learning model may receive, as an input, at least a portion of a document and may output an indication of one or more legal clauses included in the document. To train the model, the system may receive a document and an indication of ground truths (e.g., legal clauses) for the document. The system may determine one-to-one mappings between the legal clauses indicated by the ground truths and the legal clauses indicated by the output of the machine learning model. The system may perform a longest common substring analysis on the one-to-one mappings to determine an accuracy of the machine learning model and may iteratively update the model based on the analysis.
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公开(公告)号:US20250086407A1
公开(公告)日:2025-03-13
申请号:US18412078
申请日:2024-01-12
Applicant: Salesforce, Inc.
Inventor: Sundar Ram Vedula , Rajdeep Dua , Akash Singh , Manoj Kumar Subramaniyan , Ankit Oberoi , Ajay Singh , Arpit Trivedi
IPC: G06F40/58 , G06Q30/0203
Abstract: Methods, apparatuses, systems, and computer-program products are disclosed. For example, a system may receive, via a cloud-based platform, first user input including a request for generation of the output data object. The system may generate a prompt based on the first user input and a prompt appendix that defines a response format for a plurality of responses to the prompt that are to be generated by a large language model (LLM). The system may transmit the prompt to the LLM and may receive, from the LLM, the plurality of responses formatted in the response format. The system may generate the output data object that comprises the plurality of responses.
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