公开(公告)号：US20230047980A1

公开(公告)日：2023-02-16

申请号：US17976049

申请日：2022-10-28

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

Inventor： Xuyi CHEN ,  Weixin LIU ,  Yuxiang LU ,  Jiaxiang LU ,  Shiwei HUANG

IPC: G06F40/40

Abstract: A method of training a deep learning model, a method of processing a natural language, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence, in particular to deep learning technology and natural language processing technology. The method includes: inputting first sample data into a first deep learning model to obtain a first output result; training the first deep learning model according to the first output result and a first target output result, the first target output result is obtained by processing the first sample data using a reference deep learning model; inputting second sample data into a second deep learning model to obtain a second output result; and training the second deep learning model according to the second output result and a second target output result, to obtain a trained second deep learning model.