公开(公告)号：US20250004771A1

公开(公告)日：2025-01-02

申请号：US18755148

申请日：2024-06-26

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Haifeng WANG ,  Hua WU ,  Dai DAI ,  Jing LIU ,  Hongyu LI ,  Gangqiang HU

IPC: G06F9/30 ,  G06F40/20

Abstract: A method, apparatus, device, and medium for generating instruction data is provided. The method includes: obtaining a natural language-based reference instruction to direct a large model to generate response data meeting multiple first requirements; obtaining a structured disassembly result of the reference instruction to derive several reference slots and slot values corresponding to these requirements; determining multiple sample slots and sample slot values based on the reference slots, slot values, and a predetermined rule; and generating a natural language-based sample instruction from these sample slots and values, which directs the large model to generate response data that fulfills multiple second requirements.

公开(公告)号：US20250094722A1

公开(公告)日：2025-03-20

申请号：US18968920

申请日：2024-12-04

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Dai DAI ,  Hua Wu ,  Gangqiang Hu

IPC: G06F40/30

Abstract: An annotation method for a large language model, an electronic device, and a medium are provided. The method may include: obtaining a plurality of response texts that are generated by a large language model for a request text and that meet a difference requirement; obtaining a plurality of scores corresponding to the plurality of response texts, where each of the plurality of scores indicates a degree to which a corresponding response text in the plurality of response texts matches the request text; and obtaining an annotated text for at least one of the plurality of response texts based on the plurality of scores, where the annotated text is used to adjust a parameter of the large language model.