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公开(公告)号：US20240320500A1
公开(公告)日：2024-09-26
申请号：US18034418
申请日：2022-06-22
发明人： Han XIAO , Nan WANG , Bo WANG , Werk MAXIMILIAN , Mastrapas GEORGIOS
IPC分类号： G06N3/0895
CPC分类号： G06N3/0895
摘要： A method and an apparatus for generating training data are provided. The training data is used for training a target deep learning model. In the method, original data for generating the target deep learning model is obtained from a user. Then, a type of the original data is determined. The type of the original data includes categorical data with label, session data with label, and data without label. A label of the categorical data indicates a category of the categorical data. A label of the session data indicates a question-answer relevance of the session data. Next, the training data is generated according to the type of the original data.
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公开(公告)号：US20240354632A1
公开(公告)日：2024-10-24
申请号：US18034425
申请日：2022-06-22
发明人： Han XIAO , Nan WANG , Bo WANG , Werk MAXIMILIAN , Mastrapas GEORGIOS
IPC分类号： G06N20/00
CPC分类号： G06N20/00
摘要： A method and an apparatus for generating a target deep learning model are provided. In the method, an instruction and original data for generating the target deep learning model is obtained from a user. The instruction includes a task expected to be performed by the target deep learning model. Then, training data is generated from the original data. A first deep learning model corresponding to the task is determined. Then, the first deep learning model is trained with the training data to obtain the target deep learning model.
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