SYSTEMS AND METHODS FOR CONVERSATION ORCHESTRATION USING LARGE LANGUAGE MODELS

    公开(公告)号:US20240282298A1

    公开(公告)日:2024-08-22

    申请号:US18219905

    申请日:2023-07-10

    申请人: KORE.AI, INC.

    IPC分类号: G10L15/183

    CPC分类号: G10L15/183

    摘要: A virtual assistant server executes a dialog flow corresponding to a use case of one or more utterances received from a customer device. Further, a large language model (LLM) is selected from a plurality of LLMs to perform response generation based on an execution state of the dialog flow. Further, a plurality of outputs is received from the selected LLM based on a plurality of prompts provided to the selected LLM to fulfill one or more execution goals of the dialog flow. Further, when one or more of the plurality of outputs comprise: one or more entities extracted from the one or more utterances and a response to be transmitted to the customer device, the adherence of: the extracted one or more entities to one or more business rules and the response to one or more conversation rules, are validated. Subsequently, the response of the one or more of the plurality of outputs is transmitted to the customer device when the corresponding validation is successful.

    SYSTEMS AND METHODS FOR TRAINING A VIRTUAL ASSISTANT

    公开(公告)号:US20230409840A1

    公开(公告)日:2023-12-21

    申请号:US17845388

    申请日:2022-06-21

    申请人: Kore.ai, Inc.

    IPC分类号: G06F40/35 G06K9/62

    摘要: A virtual assistant server determines a subset of test data corresponding to changes between a first version of training data of a virtual assistant and a second version of the training data of the virtual assistant. Subsequently, the virtual assistant server creates a test suite with the subset of test data and runs the test suite on a second language model of the virtual assistant created using the second version of the training data. Based on the running the test suite, the virtual assistant server generates one or more executable corrective actions to be implemented at the user device and provides the one or more executable corrective actions to the user device to implement to train the virtual assistant.

    Systems and methods for recommending dialog flow modifications at a contact center

    公开(公告)号:US12058288B1

    公开(公告)日:2024-08-06

    申请号:US18105075

    申请日:2023-02-02

    申请人: KORE.AI, INC.

    IPC分类号: H04M3/00 G06F40/40 H04M3/51

    摘要: A contact center server manages conversation data for a plurality of conversations between agent devices and customer devices and provides to the agent devices, one or more automated response recommendations to one or more customer messages by executing one or more dialog flows. The contact center server, using a classification model, determines for each of the one or more customer messages when there are one or more changes between the corresponding one or more automated response recommendations and corresponding one or more agent responses. Further, the contact center server associates one or more tags to the one or more agent responses when the one or more changes are determined. Subsequently, the contact center server identifies one or more patterns in the one or more tags associated to the one or more agent responses and provides one or more flow modification recommendations to the one or more dialog flows to one or more enterprise user devices based on the identified one or more patterns.

    SYSTEMS AND METHODS FOR RECOMMENDING DIALOG FLOW MODIFICATIONS AT A CONTACT CENTER

    公开(公告)号:US20240267464A1

    公开(公告)日:2024-08-08

    申请号:US18105075

    申请日:2023-02-02

    申请人: KORE.AI, INC.

    IPC分类号: H04M3/51 G06F40/40

    摘要: A contact center server manages conversation data for a plurality of conversations between agent devices and customer devices and provides to the agent devices, one or more automated response recommendations to one or more customer messages by executing one or more dialog flows. The contact center server, using a classification model, determines for each of the one or more customer messages when there are one or more changes between the corresponding one or more automated response recommendations and corresponding one or more agent responses. Further, the contact center server associates one or more tags to the one or more agent responses when the one or more changes are determined. Subsequently, the contact center server identifies one or more patterns in the one or more tags associated to the one or more agent responses and provides one or more flow modification recommendations to the one or more dialog flows to one or more enterprise user devices based on the identified one or more patterns.