公开(公告)号：US20240346021A1

公开(公告)日：2024-10-17

申请号：US18301739

申请日：2023-04-17

Applicant: VMware, Inc.

Inventor： Chaoting XUAN ,  Ravish CHAWLA ,  Erich STUNTEBECK

IPC: G06F16/2452 ,  G06F40/20

CPC classification number: G06F16/24522 ,  G06F40/20

Abstract: The present disclosure provides an approach for training a machine learning model. Embodiments include receiving text comprising a natural language request. Embodiments include providing one or more inputs to a source machine learning model based on the text, wherein the source machine learning model has been trained using source training data corresponding to a plurality of databases. Embodiments include receiving, from the source machine learning model in response to the one or more inputs, a database query in a syntax corresponding to a target database. Embodiments include generating training data for a target machine learning model based on the text and the database query received from the source machine learning model, wherein the target machine learning model has been trained using a smaller amount of training data than the source training data that was used to train the source machine learning model.