公开(公告)号：US20250013876A1

公开(公告)日：2025-01-09

申请号：US18889928

申请日：2024-09-19

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Xianwei XUE ,  Qiutong PAN ,  Jinchang LUO ,  Bolei HE ,  Wei HE

IPC: G06N3/0985 ,  G06F40/30 ,  G06F40/40 ,  G06N3/0475

Abstract: An apparatus for training a large language model includes: at least one sample text instruction is input into a target large language model to obtain at least one standard response text, and the at least one sample text instruction is input into a large language model to be trained to obtain at least one predicted response text. A first sample response text is determined from the at least one standard response text according to the score difference between a first quality score of a standard response text and a second quality score of a predicted response text. A first target training sample is generated according to the first sample response text and a sample text instruction corresponding to the first sample response text, and a training dataset is constructed according to the first target training sample.