The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 14, 2025

Filed:

Oct. 14, 2021
Applicant:

Beijing Baidu Netcom Science Technology Co., Ltd., Beijing, CN;

Inventors:

Guocheng Niu, Beijing, CN;

Wei Li, Beijing, CN;

Can Gao, Beijing, CN;

Xinyan Xiao, Beijing, CN;

Hua Wu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/25 (2022.12); G06F 40/205 (2019.12); G06F 40/47 (2019.12); G06F 40/58 (2019.12); G06N 3/02 (2005.12);
U.S. Cl.
CPC ...
G06F 40/58 (2019.12); G06F 18/256 (2022.12); G06F 40/205 (2019.12); G06F 40/47 (2019.12); G06N 3/02 (2012.12);
Abstract

The present disclosure discloses a method and apparatus for acquiring a pre-trained model, and relates to natural language processing and deep learning technologies in the field of artificial intelligence technologies. An implementation includes: acquiring training data, the training data including a single-modal language material and a multi-modal language material, and the multi-modal language material including a language material pair formed by a first-modal language material and a second-modal language material; and performing a multi-task training operation on a pre-trained model using the training data, the multi-task including at least one cross-modal contrastive learning task and at least one single-modal learning task; the pre-trained language model obtained in the present disclosure may learn from different forms of language materials, i.e., the single-modal language material and the multi-modal language material, such that the pre-trained language model may effectively process information in various modals.


Find Patent Forward Citations

Loading…