Data propagation and mapping system

    公开(公告)号:US12124513B2

    公开(公告)日:2024-10-22

    申请号:US17652653

    申请日:2022-02-25

    摘要: Systems and methods for data propagation and mapping are provided. In an aspect, one or more data entries storing changed information in a first database using a first storage format are identified. The identified data entries are received by the data propagation and mapping system. The received data entries may be filtered to generate a subset of filtered data entries. The filtered data entries are transmitted to a mapping pipeline configured to map a data entry stored in the first storage format to a data entry stored in a second storage format. The mapped data entries are transmitted to a recipient second database storing data entries using the second storage format.

    Monitoring and alerting mechanisms

    公开(公告)号:US12124428B2

    公开(公告)日:2024-10-22

    申请号:US18077451

    申请日:2022-12-08

    IPC分类号: G06F16/27 G06F16/23 G06F16/25

    CPC分类号: G06F16/2358 G06F16/258

    摘要: Computing systems methods, and non-transitory storage media are provided for receiving a monitoring request. The monitoring request includes one or more entities or attributes to be monitored, one or more rules to be evaluated with respect to the entities or attributes, and one or more downstream actions to be selectively triggered based on the evaluation. Next, data regarding the entities or the attributes is obtained. Next, a log is generated. The log includes changes or updates, relative to a previous iteration, of the entities or the attributes. The changes or updates correspond to the rules. Next, the changes or the updates are evaluated against the one or more rules and based on the log. Next, one or more actions are selectively implemented based on the evaluation of the changes or the updates.

    SYSTEMS AND METHODS FOR SECURITY-AWARE LARGE LANGUAGE MODEL TRAINING AND MODEL MANAGEMENT

    公开(公告)号:US20240346388A1

    公开(公告)日:2024-10-17

    申请号:US18620334

    申请日:2024-03-28

    发明人: Peter Wilczynski

    IPC分类号: G06N20/20

    CPC分类号: G06N20/20

    摘要: In some examples, systems and methods for multiple-sensor object tracking are provided. For example, a method includes: receiving a model permission requirement; receiving a training corpus; segmenting the training corpus into a segmented training corpus based at least in part on the model permission requirement; training a machine learning model using the segmented training corpus; and associating the trained machine learning model with the model permission requirement.

    Data structure based on event compaction and read-offsets

    公开(公告)号:US12118013B2

    公开(公告)日:2024-10-15

    申请号:US18473562

    申请日:2023-09-25

    摘要: Disclosed herein are systems and computer-implemented methods that include storing a sequence of events, each event associated with a sequence number indicating a temporal position of an event within the sequence of events; further storing one or more read-offsets that are associated with respective consumers and that indicate the sequence number up to which the respective consumers have read events within the sequence of events; determining a smallest read-offset of all read-offsets; compacting events and/or earlier snapshots with sequence numbers smaller than the smallest read-offset into a new snapshot; and replacing, in the sequence of events, the events and/or earlier snapshots with sequence numbers smaller than the smallest read-offset with the new snapshot.