公开(公告)号：US20250119621A1

公开(公告)日：2025-04-10

申请号：US18988321

申请日：2024-12-19

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

Inventor： Yi Li ,  Li Ma ,  Lunan Zhao ,  Jie Liu ,  Tianzhong Hu ,  Huilin Li ,  Yu Chen ,  Yongjuan Che ,  Aowei Li ,  Tao Li ,  Hanmeng Liu ,  Shouke Qin

IPC: H04N21/4788 ,  G11B27/031 ,  H04L47/125

Abstract: The disclosure provides a method and an apparatus for generating comment information based on a large model, an electronic device and a storage medium, relates to a technical field of artificial intelligence, and in particular to the technical fields of deep learning, large model, and natural language processing, and the like. The specific technical solution includes: obtaining description information of a resource to be commented on by understanding, based on the large model, the resource to be commented on; obtaining, based on the description information, comment information of the resource to be commented on, in which the comment information includes at least a comment video of the resource to be commented on; and displaying the comment video in a comment section. The intelligent generation of comment videos and texts is realized, improving the accuracy of the comment information, simplifying the comment generation process, and improving the speed of generating comments. Further, by introducing a video comment format, more diverse comment formats are provided for users to select from, greatly enhancing the user experience.

公开(公告)号：US20250117601A1

公开(公告)日：2025-04-10

申请号：US18987693

申请日：2024-12-19

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

Inventor： Huilin Li ,  Yi Li ,  Lunan Zhao ,  Jie Liu ,  Li Ma ,  Tao Li ,  Tianzhong Hu ,  Yu Chen ,  Yongjuan Che ,  Aowei Li ,  Hanmeng Liu ,  Shouke Qin

IPC: G06F40/40 ,  G06F40/284 ,  G06F40/30

Abstract: A computer-implemented method for information processing includes: obtaining text information, in which the text information includes first text information of a resource to be commented on and second text information of a candidate prompt; selecting a target prompt from the candidate prompts based on the text information; and generating comment information of the resource to be commented on, based on the resource to be commented on and the target prompt.