LARGE MODEL-BASED METHOD OF GENERATING TEXT AND METHOD OF TRAINING TEXT GENERATION MODEL

    公开(公告)号:US20250094877A1

    公开(公告)日:2025-03-20

    申请号:US18969719

    申请日:2024-12-05

    Abstract: A large model-based method of generating a text, a method of training a text generation model, a device, and a medium are provided, which relate to a field of artificial intelligence technology, specifically to fields of deep learning, natural language processing and large model technologies. The large model-based method of generating a text includes: acquiring a memory state for a text to be processed, where the memory state is generated based on a previous text of the text to be processed; determining an embedding feature of the text to be processed as an initial hidden state, and processing the memory state and the initial hidden state by using a first attention mechanism to obtain an updated hidden state; and generating a subsequent text for the text to be processed based on the updated hidden state.

    DIALOG DATA GENERATING
    2.
    发明申请

    公开(公告)号:US20230085458A1

    公开(公告)日:2023-03-16

    申请号:US18057651

    申请日:2022-11-21

    Abstract: A method for generating dialog data is provided. An implementation is: obtaining a target dialog data template, where the target dialog data template includes one or more target single-round dialog data templates, each target single-round dialog data template includes one or more keyword slots and related information about each keyword slot, and the related information about each keyword slot includes location information and attribute information; for each keyword slot, determining, from a keyword data set at least based on the attribute information of the keyword slot, one or more target keywords that match the keyword slot; and for each target single-round dialog data template, filling the target single-round dialog data template with the one or more target keywords based on the location information of the one or more keyword slots, to obtain target dialog data.

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