Mechanisms for deploying database clusters

    公开(公告)号:US11914580B2

    公开(公告)日:2024-02-27

    申请号:US17491102

    申请日:2021-09-30

    Abstract: Techniques are disclosed that pertain to deploying immutable instances of a system. A computer system may maintain an active generation value that indicates an immutable instance of a database system that is permitted to write data to a database. The computer system may deploy a first immutable instance of the database system and update the active generation value to permit the first immutable instance to write data to the database. The computer system may receive a request to deploy a second immutable instance of the database system that includes an update not found in the first immutable instance. The computer system may deploy the second immutable instance and update the active generation value to cause the first immutable instance to cease writing data to the database and to permit the second immutable instance to write data to the database.

    SYSTEMS AND METHODS FOR CREATING A RICH SOCIAL MEDIA PROFILE

    公开(公告)号:US20240046163A1

    公开(公告)日:2024-02-08

    申请号:US18451335

    申请日:2023-08-17

    Inventor: Tyler A. Ziemann

    CPC classification number: G06Q10/00 G06F16/00

    Abstract: Disclosed are systems, apparatus, methods and computer-readable media for updating information stored in a database system over a network. In some implementations, first contact data is retrieved from a first virtual portion of a database system, where the first contact data provides first contact information associated with at least one entity. In some instances, the first contact data is compared with second contact data, where the second contact data provides second contact information associated with the at least one entity. In some instances, at least some of the second contact information is retrieved from a social networking system. In various implementations, at least one difference between the first contact data and the second contact data is identified, where the at least one difference is capable of being presented in a user interface displayed at a computer system. In some instances, a selection identifying contact data to store is received.

    Configurable data transformation between different database systems

    公开(公告)号:US11886458B2

    公开(公告)日:2024-01-30

    申请号:US17453755

    申请日:2021-11-05

    CPC classification number: G06F16/254 G06F16/212 G06F16/242 G06F16/258

    Abstract: Database systems and methods are provided for data migration between source and target computing systems using a configurable transformation service. The configurable transformation service obtains transformation configuration metadata associated with the particular combination of source and target computing systems, obtains a subset of source data in accordance with the transformation configuration metadata and transforms the subset of source data from a format associated with the source computing system to an intermediate, platform-independent format. The service transforms the subset of source data from the intermediate format to a destination format associated with the target computing system in accordance with the transformation configuration metadata and maintains the transformed subset of source data in the destination format in association with the target computing system.

    Systems and Methods for Reading Comprehension for a Question Answering Task

    公开(公告)号:US20230419050A1

    公开(公告)日:2023-12-28

    申请号:US18463019

    申请日:2023-09-07

    CPC classification number: G06F40/40 G06F40/30

    Abstract: Embodiments described herein provide a pipelined natural language question answering system that improves a BERT-based system. Specifically, the natural language question answering system uses a pipeline of neural networks each trained to perform a particular task. The context selection network identifies premium context from context for the question. The question type network identifies the natural language question as a yes, no, or span question and a yes or no answer to the natural language question when the question is a yes or no question. The span extraction model determines an answer span to the natural language question when the question is a span question.

    Interactively building previews of extract, transform, load (ETL) graphs using cached previews of subgraphs

    公开(公告)号:US11841872B2

    公开(公告)日:2023-12-12

    申请号:US17385393

    申请日:2021-07-26

    CPC classification number: G06F16/254 G06F3/0486 G06F16/24552 G06F16/26

    Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for executing a process flow represented by a graph or portion thereof using cached subgraphs. A first request to execute a first portion of a process flow is processed, where the first portion of the process flow is represented by a first subgraph of a graph representing the process flow and a final node of the first subgraph corresponds to a set of computer-readable instructions. The first portion of the process flow is executed such that a first output of executing the first portion of the process flow is obtained. The first subgraph is stored in association with the first output in a first cache entry of a cache. A second request to execute a second portion of the process flow is processed, where the second portion of the process flow is represented by a second subgraph of the graph. At least one cache entry for which a corresponding subgraph matches at least a portion of the second subgraph is identified in the cache, where the at least one cache entry includes the first cache entry. The first output is retrieved from the first cache entry, a node of the second subgraph to which the final node of the first subgraph is connected is identified, and the second portion of the process flow is executed by providing the first output as input to the identified node of the second subgraph without executing the set of computer-readable instructions.

    Dialogue state tracking using a global-local encoder

    公开(公告)号:US11836451B2

    公开(公告)日:2023-12-05

    申请号:US17179933

    申请日:2021-02-19

    Abstract: A method for maintaining a dialogue state associated with a dialogue between a user and a digital system includes receiving, by a dialogue state tracker associated with the digital system, a representation of a user communication, updating, by the dialogue state tracker, the dialogue state and providing a system response based on the updated dialogue state. The dialogue state is updated by evaluating, based on the representation of the user communication, a plurality of member scores corresponding to a plurality of ontology members of an ontology set, and selecting, based on the plurality of member scores, zero or more of the plurality of ontology members to add to or remove from the dialogue state. The dialogue state tracker includes a global-local encoder that includes a global branch and a local branch, the global branch having global trained parameters that are shared among the plurality of ontology members and the local branch having local trained parameters that are determined separately for each of the plurality of ontology members.

    Autocomplete of user entered text
    40.
    发明授权

    公开(公告)号:US11816431B2

    公开(公告)日:2023-11-14

    申请号:US16846338

    申请日:2020-04-12

    Inventor: Yang Zhang

    CPC classification number: G06F40/274 G06F40/30 G06N3/088

    Abstract: Computer implemented method and a system for auto completion of text based on the context associated with the text. The computer implemented method includes steps of receiving input text, identifying a certain context associated with the input text from multiple predefined contexts, by feeding the input text into a context-prediction component of a machine learning model that predicts the certain context, selecting a certain context-specific component of the machine learning model from multiple context-specific components according to the identified certain context, feeding the input text into the selected context-specific component that outputs autocomplete text associated with the identified certain context. The context-specific components are each trained to generate autocompleted text associated with a respective context pre-defined for the respective context-specific component.

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