DEPLOYMENT OF MACHINE LEARNING MODELS USING LARGE LANGUAGE MODELS AND FEW-SHOT LEARNING

    公开(公告)号:US20250036974A1

    公开(公告)日:2025-01-30

    申请号:US18358245

    申请日:2023-07-25

    Applicant: SAP SE

    Abstract: Methods, systems, and computer-readable storage media for providing, for a set of ML models, a set of training metrics determined using test data during a training phase, providing, for a production-use ML model, a set of inference metrics based on predictions generated by the production-use ML model, generating, by a prompt generator, a set of few-shot examples using the set of training metrics and the set of inference metrics, inputting, by the prompt generator, the set of few-shot examples to a LLM as prompts, transmitting, to the LLM a query, displaying, to a user, a recommendation that is received from the LLM and responsive to the query, receiving input from a user indicating a user-selected ML model responsive to the recommendation, and deploying a user-selected ML model to an inference runtime for production use.

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