Identity information linking
    51.
    发明授权

    公开(公告)号:US12132717B2

    公开(公告)日:2024-10-29

    申请号:US17503885

    申请日:2021-10-18

    Abstract: A system, method, and computer-readable media for linking identify information between a group-based communication system and an external application based on a user authorization to share credentials. After sharing the user's credentials, the user may be authenticated with the external application and user data from the group-based communication system may be shared with the external application. Additionally, a preview of a web resource associated with the external application may be displayed to the user within the group-based communication system allowing the user to interact with the web resource from within the group-based communication system.

    ACCESS CONTROL FOR RESTRICTED ENTITIES
    52.
    发明公开

    公开(公告)号:US20240356854A1

    公开(公告)日:2024-10-24

    申请号:US18303314

    申请日:2023-04-19

    CPC classification number: H04L47/125

    Abstract: Methods, apparatuses, and computer-program products are disclosed. A method may include activating, in a processing entity, a connection agent and a manifest, the manifest including a data signature and an endpoint type that are associated with the processing entity. The method may include generating, based on the data signature, the endpoint type, or both, one or more load balanced dynamic endpoints configured for access, by the connection agent and via one or more application programming interfaces, to a repository including access configurations for the processing entity. The method may include retrieving, via the one or more load balanced dynamic endpoints and from the repository, one or more first access configurations of the plurality of access configurations and the one or more first access configurations may be associated with the processing entity.

    Database system observability data querying and access

    公开(公告)号:US12124458B2

    公开(公告)日:2024-10-22

    申请号:US18052352

    申请日:2022-11-03

    CPC classification number: G06F16/24575 G06F11/3409 G06F16/242 G06F16/256

    Abstract: A query may be determined based on data retrieval parameter values. The data retrieval parameter values may include a data type parameter identifying a designated data type of a plurality of data types corresponding with database observability data generated during operation of a database system. The of data retrieval parameter values may also include a designated time period during which to retrieve data associated with the designated data type. A query may be determined based on the plurality of data retrieval parameter values via a collection manager in a database application layer associated with the database system. The query may be executed to retrieve a designated dataset of database observability data corresponding with the designated data type and generated by the database system during the designated time period.

    COMPUTING SYSTEM PERMISSION ADMINISTRATION ENGINE

    公开(公告)号:US20240348620A1

    公开(公告)日:2024-10-17

    申请号:US18656336

    申请日:2024-05-06

    Abstract: A plurality of permissions associated with the on-demand computing services environment may be identified. Each of the permissions may identify a respective one or more actions permitted to be performed within the on-demand computing services environment. Each of the permissions may be granted to a respective one or more user accounts within the on-demand computing services environment. A degree of overlap between a first group of the user accounts granted a first one of the permissions and a second group of the user accounts granted a second one of the permissions may be determined. When the degree of overlap exceeds a designated threshold, a designated permission set that includes the first permission and the second permission may be created.

    Systems and methods for factual extraction from language model

    公开(公告)号:US12112131B2

    公开(公告)日:2024-10-08

    申请号:US17588043

    申请日:2022-01-28

    CPC classification number: G06F40/279 G06F40/126 G06N3/044

    Abstract: Embodiments described herein provide a system and method for extracting factual information. The system transforms a query into a natural language prompt in a format of a query subject and a queried relation. The system encodes, via an embedding layer of a pre-trained language model, the natural language prompt into a first embedding. The system encodes, via the adapter model, the first embedding into a second embedding based on a probability that the second embedding returns the factual information when the second embedding is fed the first attention layer of the pre-trained language model. The system decodes, by the first attention layer of the pre-trained language mode, the second embedding into a response to the query. The system extracts the factual information from the decoded response to the query.

    Database system interaction embedding and indexing for text retrieval and generation

    公开(公告)号:US12111858B1

    公开(公告)日:2024-10-08

    申请号:US18481036

    申请日:2023-10-04

    CPC classification number: G06F16/3347 G06F16/31 G06N3/0455

    Abstract: A text interaction record including interaction text from one or more messages between a client machine and a service provider is received at a database system. A search vector including a text embedding representing the interaction text in a multi-dimensional vector space may be determined based on the interaction text via a processor at the database system. A reference interaction record including reference interaction text may be retrieved from the database system based on the search vector. The reference interaction record may include a reference vector representing the reference interaction text in the multi-dimensional vector space. Recommended reply text is determined based on the interaction text and the reference interaction text by a large language model configured to generate the recommended reply text in response to a prompt that includes one or more natural language instructions.

    Real-time predictions based on machine learning models

    公开(公告)号:US12106199B2

    公开(公告)日:2024-10-01

    申请号:US18304284

    申请日:2023-04-20

    CPC classification number: G06N20/20 G06N7/01

    Abstract: An online system performs predictions for real-time tasks and near real-time tasks based on available network bandwidth. A client device receives a regression based machine learning model. Responsive to receiving a task, the client device determines an available network bandwidth for the client device. If the available network bandwidth is below a threshold, the client device uses the regression based machine learning model to perform the task. If the client device determines that the network bandwidth is above the threshold, the client device extracts features of the task, serializes the extracted features, and transmits the serialized features to an online system, causing the online system to use a different machine learning model to perform the task based on the serialized features.

    Efficient API with privacy protection

    公开(公告)号:US12105835B2

    公开(公告)日:2024-10-01

    申请号:US17224307

    申请日:2021-04-07

    CPC classification number: G06F21/6245 G06F9/547

    Abstract: Methods, computer readable media, and devices for efficient application programming interface (API) processing with privacy protection include one method of receiving a user request for content from a client, parsing the user request for content to identify one or more request portions having a type of public information, customized information, and personal information, transmitting the one or more request portions to a corresponding microservice based on the type of the portion of content being requested, receiving one or more response portions, determining a type of the one or more portions of content, and in response to determining the type of a portion of content is not personal information, caching the portion of content based on the type of the portion of content, combining the one or more response portions into a user response, and sending the user response to the client.

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