公开(公告)号：US20230196245A1

公开(公告)日：2023-06-22

申请号：US18169727

申请日：2023-02-15

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

Inventor： Mengyue LIU ,  Haibin ZHANG ,  Penghao ZHAO ,  Shupeng LI ,  En SHI

IPC: G06Q10/0635 ,  G06N7/01

CPC classification number: G06Q10/0635 ,  G06N7/01

Abstract: A method and apparatus for predicting a risk are provided. The method may include: determining an inherent risk probability of a to-be-tested object; building a relationship graph between the to-be-tested object and different associated objects; determining a primary conduction probability between any two directly associated objects in the relationship graph; determining, based on the primary conduction probability between any two directly associated objects in the relationship graph and the relationship graph, a multi-level conduction probability of the to-be-tested object; and determining a target risk probability of the to-be-tested object, based on the inherent risk probability and the multi-level conduction probability of the to-be-tested object.

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：US20220276899A1

公开(公告)日：2022-09-01

申请号：US17744396

申请日：2022-05-13

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

Inventor： Binbin XU ,  Liang TANG ,  Ying ZHAO ,  Shupeng LI ,  En SHI ,  Zhengyu QIAN ,  Yongkang XIE

IPC: G06F9/50 ,  G06T1/20

Abstract: A resource scheduling method and apparatus, a device, and a storage medium are provided, and relates to the field of computer technology, and in particular to the field of deep learning technology. The method includes: acquiring a graphics processing unit (GPU) topology relationship of a cluster according to GPU connection information of each of computing nodes in the cluster; and in a case where a task request, for applying for a GPU resource, for a target task is received, determining a target computing node of the target task and a target GPU in the target computing node according to the task request and the GPU topology relationship, to complete GPU resource scheduling of the target task. The present disclosure can optimize the resource scheduling.