FACILITATING LARGE-SCALE TESTING USING VIRTUALIZATION TECHNOLOGY IN A MULTI-TENANT DATABASE ENVIRONMENT
    1.
    发明申请
    FACILITATING LARGE-SCALE TESTING USING VIRTUALIZATION TECHNOLOGY IN A MULTI-TENANT DATABASE ENVIRONMENT 有权
    利用虚拟化技术在多重数据库环境中实现大规模测试

    公开(公告)号:US20130283103A1

    公开(公告)日:2013-10-24

    申请号:US13921849

    申请日:2013-06-19

    CPC classification number: G06F11/3684 G06F11/368

    Abstract: A system and method for testing in a database system. In one embodiment, a method includes receiving an indication of one or more changes to a software application, wherein each change corresponds to a different version of the software application. The method further includes generating one or more virtual machines for a version of the software application in response to the indication, wherein the one or more virtual machines test the version of the software application.

    Abstract translation: 一种在数据库系统中进行测试的系统和方法。 在一个实施例中,一种方法包括接收对软件应用的一个或多个改变的指示,其中每个改变对应于软件应用的不同版本。 所述方法还包括响应于所述指示为所述软件应用的版本生成一个或多个虚拟机,其中所述一个或多个虚拟机测试所述软件应用的版本。

    Bi-directional spatial-temporal reasoning for video-grounded dialogues

    公开(公告)号:US11288438B2

    公开(公告)日:2022-03-29

    申请号:US16781223

    申请日:2020-02-04

    Abstract: Systems and methods are provided for performing a video-grounded dialogue task by a neural network model using bi-directional spatial-temporal reasoning. According to some embodiments, the systems and methods implement a dual network architecture or framework. This framework includes one network or reasoning module that learns dependencies between text and video in the direction of spatial→temporal, and another network or reasoning module that learns in the direction of temporal→spatial. The output of the multimodal reasoning modules may be combined to learn dependencies between language features in dialogues. The result joint representation is used as a contextual feature to the decoding components which allow the model to semantically generate meaningful responses to the users. In some embodiments, pointer networks are extended to the video-grounded dialogue task to allow the model to point to specific tokens from multiple source sequences to generate responses.

    Spatial-temporal reasoning through pretrained language models for video-grounded dialogues

    公开(公告)号:US11487999B2

    公开(公告)日:2022-11-01

    申请号:US16860977

    申请日:2020-04-28

    Abstract: A system and method for generating a response in a video grounded dialogue are provided. A video-grounded dialogue neural network language model receives video input and text input. The text input includes a dialogue history between the model and a human user and a current utterance by the user. Encoded video input is generated using video encoding layers. Encoded text input is generated using text encoding layers. The encoded video input and the encoded text input are concatenated in to a single input sequence. A generative pre-trained transformer model generates the response to the current utterance from the singe input sequence.

    System and method for automatic task-oriented dialog system

    公开(公告)号:US11568000B2

    公开(公告)日:2023-01-31

    申请号:US16736268

    申请日:2020-01-07

    Abstract: A method for dialog state tracking includes decoding, by a fertility decoder, encoded dialog information associated with a dialog to generate fertilities for generating dialog states of the dialog. Each dialog state includes one or more domains. Each domain includes one or more slots. Each slot includes one or more slot tokens. The method further includes generating an input sequence to a state decoder based on the fertilities. A total number of each slot token in the input sequence is based on a corresponding fertility. The method further includes encoding, by a state encoder, the input sequence to the state decoder, and decoding, by the state decoder, the encoded input sequence to generate a complete sequence of the dialog states.

    Facilitating large-scale testing using virtualization technology in a multi-tenant database environment
    5.
    发明授权
    Facilitating large-scale testing using virtualization technology in a multi-tenant database environment 有权
    在多租户数据库环境中促进使用虚拟化技术的大规模测试

    公开(公告)号:US08762787B2

    公开(公告)日:2014-06-24

    申请号:US13921849

    申请日:2013-06-19

    CPC classification number: G06F11/3684 G06F11/368

    Abstract: A system and method for testing in a database system. In one embodiment, a method includes receiving an indication of one or more changes to a software application, wherein each change corresponds to a different version of the software application. The method further includes generating one or more virtual machines for a version of the software application in response to the indication, wherein the one or more virtual machines test the version of the software application.

    Abstract translation: 一种在数据库系统中进行测试的系统和方法。 在一个实施例中,一种方法包括接收对软件应用的一个或多个改变的指示,其中每个改变对应于软件应用的不同版本。 所述方法还包括响应于所述指示为所述软件应用的版本生成一个或多个虚拟机,其中所述一个或多个虚拟机测试所述软件应用的版本。

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