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    STRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES
    2.
    发明公开
    STRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES 审中-公开

    公开(公告)号：US20240194180A1

    公开(公告)日：2024-06-13

    申请号：US18063378

    申请日：2022-12-08

    Applicant: GOOGLE LLC

    Inventor： Sasha Goldshtein ,  Yoav Tzur ,  Asaf Aharoni ,  Ofer Ron

    IPC: G10L13/047 ,  H04L51/02

    CPC classification number: G10L13/047 ,  H04L51/02

    Abstract: Implementations are directed to receiving unstructured free-form natural language input, generating a chatbot based on the unstructured free-form natural language input and in response to receiving the unstructured free-form natural language input, and causing the chatbot to perform engage in corresponding conversations with additional users. In various implementations, the unstructured free-form natural language input implicitly defines a corresponding dialog state map (e.g., defines corresponding dialog states and/or corresponding dialog state transitions) without defining any explicit dialog states and/or explicit dialog state transitions. In other implementations, the unstructured free-form natural language input is assigned to explicit dialog states and/or explicit dialog state transitions. Nonetheless, the unstructured free-form natural language input may be utilized to fine-tune and/or primed a machine learning model that is already capable of being utilized in conducting generalized conversations. As a result, the chatbot can be generated and deployed in a quick and efficient manner.

    UPDATING TRAINED VOICE BOT(S) UTILIZING EXAMPLE-BASED VOICE BOT DEVELOPMENT TECHNIQUES
    3.
    发明申请
    UPDATING TRAINED VOICE BOT(S) UTILIZING EXAMPLE-BASED VOICE BOT DEVELOPMENT TECHNIQUES 有权

    公开(公告)号：US20220255885A1

    公开(公告)日：2022-08-11

    申请号：US17170300

    申请日：2021-02-08

    Applicant: GOOGLE LLC

    Inventor： Asaf Aharoni ,  Eyal Segalis ,  Ofer Ron ,  Sasha Goldshtein ,  Tomer Amiaz ,  Razvan Mathias ,  Yaniv Leviathan

    IPC: H04L12/58 ,  G06N20/00 ,  G10L15/22

    Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.

    Updating trained voice bot(s) utilizing example-based voice bot development techniques
    4.
    发明授权
    Updating trained voice bot(s) utilizing example-based voice bot development techniques 有权

    公开(公告)号：US12255856B2

    公开(公告)日：2025-03-18

    申请号：US18403401

    申请日：2024-01-03

    Applicant: GOOGLE LLC

    Inventor： Asaf Aharoni ,  Eyal Segalis ,  Ofer Ron ,  Sasha Goldshtein ,  Tomer Amiaz ,  Razvan Mathias ,  Yaniv Leviathan

    IPC: H04L51/02 ,  G06N20/00 ,  G10L15/06 ,  G10L15/10 ,  G10L15/22

    Abstract: Implementations are directed to updating a trained voice bot that is deployed for conducting conversations on behalf of a third-party. A third-party developer can interact with a voice bot development system that enables the third-party developer to train, update, validate, and monitor performance of the trained voice bot. In various implementations, the trained voice bot can be updated by updating a corpus of training instances that was initially utilized to train the voice bot, and updating the trained voice bot based on the updated corpus. In some implementations, the corpus of training instances may be updated in response to identifying occurrence(s) of behavioral error(s) of the trained voice bot while the conversations are being conducted on behalf of the third-party. In additional or alternative implementations, the corpus of training instances may be updated in response to determining the trained voice bot does not include a desired behavior.

    UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES
    5.
    发明公开
    UNSTRUCTURED DESCRIPTION-BASED CHATBOT DEVELOPMENT TECHNIQUES 审中-公开

    公开(公告)号：US20240185834A1

    公开(公告)日：2024-06-06

    申请号：US18074799

    申请日：2022-12-05

    Applicant: GOOGLE LLC

    Inventor： Asaf Aharoni ,  Eyal Segalis ,  Sasha Goldshtein ,  Ofer Ron ,  Yaniv Leviathan ,  Yoav Tzur

    IPC: G10L13/08 ,  G10L15/22

    CPC classification number: G10L13/08 ,  G10L15/22 ,  G10L2015/221 ,  G10L2015/223

    Abstract: Implementations are directed to receiving unstructured free-form natural language input, generating a chatbot based on the unstructured free-form natural language input and in response to receiving the unstructured free-form natural language input, and causing the chatbot to perform task(s) associated with an entity and on behalf of the user. In various implementations, the unstructured free-form natural language input conveys details of the task(s) to be performed, but does not define any corresponding dialog state map (e.g., does not define any dialog states or any dialog state transitions). Nonetheless, the unstructured free-form natural language input may be utilized to fine-tune and/or prime a machine learning model that is already capable of being utilized in conducting generalized conversations. As a result, the chatbot can be generated and deployed in a quick and efficient manner for performance of the task(s) on behalf of the user.

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