TRAINING METHOD FOR CHARACTER GENERATION MODEL, CHARACTER GENERATION METHOD, APPARATUS AND STORAGE MEDIUM

    公开(公告)号:US20220180043A1

    公开(公告)日:2022-06-09

    申请号:US17682422

    申请日:2022-02-28

    Abstract: Provided is a training method for a character generation model, a character generation method, apparatus and device, which relate to the technical field of artificial intelligences, particularly, the technical field of computer vision and deep learning. The specific implementation scheme includes: a first training sample is acquired, a target model is trained based on the first training sample, and a first character confrontation loss is acquired; a second training sample is acquired, the target model is trained based on the second training sample, and a second character confrontation loss, a component classification loss and a style confrontation loss are acquired; and a parameter of the character generation model is adjusted according to the first character confrontation loss, the second character confrontation loss, the component classification loss and the style confrontation loss.

    FUSING AND DEGRADATION METHOD AND APPARATUS FOR MICRO-SERVICE, DEVICE, AND MEDIUM

    公开(公告)号:US20220174122A1

    公开(公告)日:2022-06-02

    申请号:US17676056

    申请日:2022-02-18

    Abstract: Provided are a fusing and degradation method and apparatus for a micro-service, a device, a medium, and a program product, which relate to the field of the Internet, in particular to the field of fusing and degradation. The specific implementation is as follows: instantiating, by a monitoring probe woven into a micro-service traffic process, a fuse component according to an obtained fusing and degradation rule, and weaving, by the monitoring probe, the fuse component into the traffic process, where the fuse component is used for performing fusing and degradation on a traffic request processed in the traffic process. The fusing and degradation technology during the running of a micro-service is achieved through a probe so that the micro-service developer can fuse and degrade a micro-service application that is running without hard coding, thereby improving the efficiency and stability of the micro-service fusing and degradation.

    MAP DATA PROCESSING METHOD, DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT

    公开(公告)号:US20220155087A1

    公开(公告)日:2022-05-19

    申请号:US17591687

    申请日:2022-02-03

    Abstract: The present disclosure discloses a map data processing method, a device, a storage medium and a program product, and relates to intelligent transportation, automatic driving, electronic map and other fields in computer technology. A specific solution is: determining, according to coordinates of vertexes of a tile included in panoramic map data, coordinates of mapping points of the tile on a plane where a viewport is located; determining a bounding box of the mapping points according to the coordinates of the mapping points; according to whether there is an overlapping area between the bounding box of the mapping points and a visible range corresponding to the viewport, determining whether the tile falls within the visible range, thus determining the indexes of all the tiles falling within the visible range. In this way, the indexes of the tiles falling within the visible range corresponding to the current viewport can be determined accurately.

    METHOD AND APPARATUS FOR ACQUIRING INFORMATION

    公开(公告)号:US20220147373A1

    公开(公告)日:2022-05-12

    申请号:US17580477

    申请日:2022-01-20

    Inventor: Tengfei Shan

    Abstract: Some embodiments of the present disclosure discloses a method and apparatus for acquiring information, relates to the technical field of information transmission and distributed network architecture. The method includes: determining, in response to receiving an instruction used to indicate to acquire configuration information, for each of a plurality of physical machines, a set of candidate processes of the physical machine; acquiring a first key value, and determining a target candidate process of the physical machine from the set of candidate processes based on the first key value; acquiring a second key value, and determining a target process from a plurality of target candidate processes determined based on the plurality of physical machines based on the second key value; and acquiring the configuration information using the target process.

    METHOD OF TRANSMITTING MESSAGE, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220129966A1

    公开(公告)日:2022-04-28

    申请号:US17568886

    申请日:2022-01-05

    Inventor: Minfan LIN

    Abstract: A method of transmitting a message, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, and in particular to an intelligent recommendation technology. The method includes: determining at least one object group corresponding to a target object from a plurality of object groups, based on at least one feature of the target object; acquiring at least one candidate message associated with the at least one object group within a predetermined time period, wherein each of the at least one candidate message indicates at least one candidate service to be recommended to an object in the at least one object group; selecting a target message from the at least one candidate message based on the at least one feature; and transmitting the target message to the target object, wherein the target message indicates at least one target service recommended to the target object.

    METHOD AND APPARATUS FOR TRAINING MODEL, AND METHOD AND APPARATUS FOR PREDICTING TEXT

    公开(公告)号:US20220129768A1

    公开(公告)日:2022-04-28

    申请号:US17646851

    申请日:2022-01-03

    Abstract: The present disclosure provides a method and apparatus for training a model. The method can include: acquiring at least one paragraph text, each paragraph text comprising a plurality of fine-grained samples; processing a fine-grained sample in the each paragraph text to obtain a coarse-grained sample; annotating the coarse-grained sample in the each paragraph text and obscuring one coarse-grained sample using a mask of one fine-grained sample to obtain a training sample set, wherein the training sample set comprises a plurality of annotated texts, and each annotated text comprises at least one of a fine-grained sample or an annotated coarse-grained sample; and training a fine-grained model using the training sample set to obtain a trained fine-grained model, the fine-grained model being used to learn content of a previous fine grain size and predict content of an adjacent coarse grain size.

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