-
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.
-
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
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.
-
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
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.
-
Patent Agency Ranking
公开(公告)号：US20250061890A1
公开(公告)日：2025-02-20
申请号：US18936314
申请日：2024-11-04
Applicant: GOOGLE LLC
Inventor： Asaf Aharoni , Yaniv Leviathan , Eyal Segalis , Gal Elidan , Sasha Goldshtein , Tomer Amiaz , Deborah Cohen
Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).
-
公开(公告)号：US20240323276A1
公开(公告)日：2024-09-26
申请号：US18337283
申请日：2023-06-19
Applicant: GOOGLE LLC
Inventor： Sasha Goldshtein , Yoav Tzur
IPC: H04M3/493 , H04M1/72454 , H04M1/72484
CPC classification number: H04M3/4936 , H04M1/72454 , H04M1/72484
Abstract: Some implementations receive user input from a user to initiate a telephone call with an entity, and determine whether a voice assistant is able to automate the telephone call with the entity on behalf of the user. In response to determining that the voice assistant is able to automate the telephone call with the entity, these implementations can, prior to the telephone call being initiated, cause an automated telephone call suggestion element to be rendered via the client device. In response to receiving a user selection of the automated telephone call suggestion element, these implementations can determine a task to be performed on behalf of the user during the telephone call, and cause the voice assistant to initiate and conduct the telephone call to perform the task on behalf of the user.
-
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
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.
-
公开(公告)号：US11902222B2
公开(公告)日：2024-02-13
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
CPC classification number: H04L51/02 , G06N20/00 , G10L15/063 , 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.
-
公开(公告)号：US20220180857A1
公开(公告)日：2022-06-09
申请号：US17112418
申请日：2020-12-04
Applicant: Google LLC
Inventor： Asaf Aharoni , Yaniv LEVIATHAN , Eyal SEGALIS , Gal ELIDAN , Sasha Goldshtein , Tomer Amiaz , Deborah Cohen
Abstract: Implementations are directed to providing a voice bot development platform that enables a third-party developer to train a voice bot based on training instance(s). The training instance(s) can each include training input and training output. The training input can include a portion of a corresponding conversation and a prior context of the corresponding conversation. The training output can include a corresponding ground truth response to the portion of the corresponding conversation. Subsequent to training, the voice bot can be deployed for conducting conversations on behalf of a third-party. In some implementations, the voice bot is further trained based on a corresponding feature emphasis input that attentions the voice bot to a particular feature of the portion of the corresponding conversation. In some additional or alternative implementations, the voice bot is further trained to interact with third-party system(s) via remote procedure calls (RPCs).
-
-
-
-
-
-
-
Search Results
18
records
(took 0.014 seconds)
