公开(公告)号：US20240420587A1

公开(公告)日：2024-12-19

申请号：US18749421

申请日：2024-06-20

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

Inventor： Zhenhui SHI ,  Yuan XIA ,  Jun CHEN ,  Haifeng HUANG

IPC: G09B7/02

Abstract: A method includes: performing retrieval in question-answer text in a drug knowledge base based on drug question text, to obtain answer text corresponding to the drug question text; performing retrieval in drug instructions in the drug knowledge base based on the drug question text, to obtain instruction text corresponding to the drug question text; and generating response text corresponding to the drug question text based on the answer text and the instruction text.

公开(公告)号：US20250117710A1

公开(公告)日：2025-04-10

申请号：US18985365

申请日：2024-12-18

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

Inventor： Mingxiu ZHANG ,  Yahui WANG ,  Fangxin SHANG ,  Jun CHEN ,  Haifeng HUANG

IPC: G06N20/00 ,  G10L25/27

Abstract: Provided is a method of deploying a multimodal large model, an electronic device and a storage medium, relating to field of artificial intelligence technology, and in particular, to fields of deep learning and model deployment. The method includes: splitting a first multimodal large model into a visual part and a linguistic part; determining a first static graph model corresponding to the visual part and a second static graph model corresponding to the linguistic part; and deploying the first multimodal large model based on the first static graph model and the second static graph model.