Edge computing units for operating conversational tools at local sites

    公开(公告)号:US12093294B1

    公开(公告)日:2024-09-17

    申请号:US18612959

    申请日:2024-03-21

    摘要: Computing units provided at local sites or edge locations are programmed to execute conversational tools that generate pertinent, domain-specific responses to queries received from workers at such sites or locations. The conversational tools are large language models that are trained with domain-specific knowledge documents. Data representing queries are received from workers at such sites or locations and provided as inputs to the conversational tools along with text representing nearest knowledge documents from a knowledge base associated with the domain, as well as contextual data. Responses identified based on outputs received from the conversational tools in response to the inputs are provided to the workers that generated the queries. Where subsequent queries are received from the workers, responses to the subsequent queries are identified based on the subsequent queries, nearest knowledge documents, contextual data, and conversational histories including previously received queries and responses to such queries.

    Natural language statistical model with alerts

    公开(公告)号:US12086557B1

    公开(公告)日:2024-09-10

    申请号:US18482838

    申请日:2023-10-06

    IPC分类号: G06F40/40

    CPC分类号: G06F40/40

    摘要: Disclosed implementations include systems, methods, and apparatus that process multiple, disparate streams of data, determine correlations and relationships between the data and provide natural language responses that provide insights for events or activities that have occurred and foresights for events or activities that are forecasted to occur. The disclosed implementations include a model that understands data statistics and provides both insights and foresights that are backed with statistical support that can be presented to and understood by operators. Still further, the disclosed implementations are capable of operating at edge locations that may be frequently or permanently disconnected from conventional or cloud based systems.

    Edge computing units for operating conversational tools at local sites

    公开(公告)号:US12001463B1

    公开(公告)日:2024-06-04

    申请号:US18439407

    申请日:2024-02-12

    摘要: Computing units provided at local sites or edge locations are programmed to execute conversational tools that generate pertinent, domain-specific responses to queries received from workers at such sites or locations. The conversational tools are large language models that are trained with domain-specific knowledge documents. Data representing queries are received from workers at such sites or locations and provided as inputs to the conversational tools along with text representing nearest knowledge documents from a knowledge base associated with the domain, as well as contextual data. Responses identified based on outputs received from the conversational tools in response to the inputs are provided to the workers that generated the queries. Where subsequent queries are received from the workers, responses to the subsequent queries are identified based on the subsequent queries, nearest knowledge documents, contextual data, and conversational histories including previously received queries and responses to such queries.

    Video based question and answer
    4.
    发明授权

    公开(公告)号:US11995412B1

    公开(公告)日:2024-05-28

    申请号:US18482828

    申请日:2023-10-06

    摘要: Disclosed are systems and methods that convert digital video data, such as two-dimensional digital video data, into a natural language text description describing the subject matter represented in the video. For example, the disclosed implementations may process video data in real-time, near real-time, or after the video data is created and generate a text-based video narrative describing the subject matter of the video. In addition, the disclosed implementations may also support a question and answer session in which a user may submit queries about the subject matter of one or more videos and the disclosed implementations will present natural language responses based on the subject matter of the video and any corresponding context.

    Time series data to statistical natural language interaction

    公开(公告)号:US12067041B1

    公开(公告)日:2024-08-20

    申请号:US18482831

    申请日:2023-10-06

    IPC分类号: G06F40/30 G06F16/34 G06F40/40

    CPC分类号: G06F16/345 G06F40/40

    摘要: Disclosed implementations include systems, methods, and apparatus that process multiple, disparate streams of data, determine correlations and relationships between the data and provide natural language responses that provide insights for events or activities that have occurred and foresights for events or activities that are forecasted to occur. The disclosed implementations include a model that understands data statistics and provides both insights and foresights that are backed with statistical support that can be presented to and understood by operators. Still further, the disclosed implementations are capable of operating at edge locations that may be frequently or permanently disconnected from conventional or cloud based systems.

    Edge computing units for operating conversational tools at local sites

    公开(公告)号:US11960515B1

    公开(公告)日:2024-04-16

    申请号:US18482839

    申请日:2023-10-06

    摘要: Computing units provided at local sites or edge locations are programmed to execute conversational tools that generate pertinent, domain-specific responses to queries received from workers at such sites or locations. The conversational tools are large language models that are trained with domain-specific knowledge documents. Data representing queries are received from workers at such sites or locations and provided as inputs to the conversational tools along with text representing nearest knowledge documents from a knowledge base associated with the domain, as well as contextual data. Responses identified based on outputs received from the conversational tools in response to the inputs are provided to the workers that generated the queries. Where subsequent queries are received from the workers, responses to the subsequent queries are identified based on the subsequent queries, nearest knowledge documents, contextual data, and conversational histories including previously received queries and responses to such queries.