公开(公告)号：US20240411552A1

公开(公告)日：2024-12-12

申请号：US18748345

申请日：2024-06-20

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

Inventor： Jing XIA ,  Jun LIU ,  Binbin XU ,  Kuan SHI ,  Shupeng LI ,  Zhengyu QIAN ,  En SHI

IPC: G06F8/71 ,  G06F11/36

Abstract: A computer-implemented method for recommending a large model interface configuration includes: obtaining a search space of a model interface configuration and a test data set, wherein the search space comprises at least one candidate model interface and a value range of a hyperparameter; and obtaining a plurality of model interface configuration sets based on the search space, wherein each model interface configuration set comprises a candidate model interface and a value of the hyperparameter; and obtaining a test result corresponding to each model interface configuration set, by using the test data set to test a large model called based on each model interface configuration set; and determining a target interface configuration based on the test results corresponding to the plurality of model interface configuration sets.

公开(公告)号：US20210012777A1

公开(公告)日：2021-01-14

申请号：US16936967

申请日：2020-07-23

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

Inventor： Yang LIANG ,  Kun LIU ,  Shuangshuang QIAO ,  Xiangyue LIN ,  Chao HAN ,  Mingfa ZHU ,  Jiangliang GUO ,  Xu LI ,  Jun LIU ,  Shuo LI ,  Shiming YIN

IPC: G10L15/25 ,  G10L25/57 ,  G06K9/00

Abstract: Embodiments of the present disclosure provide a context acquiring method based on voice interaction and a device, the method comprising: acquiring a scene image collected by an image collection device at a voice start point of a current conversation, and extracting a face feature of each user in the scene image; if it is determined that there is a second face feature matching a first face feature according to the face feature of each user and a face database, acquiring a first user identifier corresponding to the second face feature from the face database; if it is determined that a stored conversation corresponding to the first user identifier is stored in a voice database, determine a context of a voice interaction according to the current conversation and the stored conversation, and after the voice end point of the current conversation is obtained, storing the current conversation into the voice database.