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公开(公告)号:US20240412145A1
公开(公告)日:2024-12-12
申请号:US18377148
申请日:2023-10-05
Inventor: Ross Wheeler , Jose Ivan Gutierrez , Lauren Mitchell , Anthony Welcome , Steve Amancha
IPC: G06Q10/0639 , G06F40/30 , G06Q10/0631
Abstract: Apparatuses, systems, and methods are provided for training employees are provided. The method comprises: (1) receiving, by one or more processors from a user device associated with an employee, an answer associated with a question; (2) generating, by the one or more processors via a chatbot, values associated with one or more metrics of the answer; and/or (3) performing, by the one or more processors, at least one of the following: (i) determining a skill level of the employee based upon the values associated with the one or more metrics of the answer; (ii) presenting, to the employee via the user device, a second question based upon the values associated with the one or more metrics of the answer; and/or (iii) presenting, to the employee via the user device, an explanation based upon the values associated with the one or more metrics of the answer.
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公开(公告)号:US20240394593A1
公开(公告)日:2024-11-28
申请号:US18454731
申请日:2023-08-23
Inventor: Jose Ivan Gutierrez , Lauren Mitchell , Ross Wheeler , Steve Amancha , Anthony Welcome
IPC: G06N20/00
Abstract: Systems and methods disclosed herein relate to fine-tuning machine learning (ML) chatbots for an enterprise. The systems and methods may use ML chatbots and/or generative ML to provide information to a user based upon the user's interaction at a portal of an enterprise. The systems and methods may fine-tune a base ML model, and use the fine-tuned ML model for the ML chatbot. The user's interactions may be classified as a type of user activity. A fine-tuned ML model may be loaded as the ML chatbot based upon the type of user activity.
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公开(公告)号:US20240394503A1
公开(公告)日:2024-11-28
申请号:US18454724
申请日:2023-08-23
Inventor: Jose Ivan Gutierrez , Lauren Mitchell , Ross Wheeler , Steve Amancha , Anthony Welcome , Olivia Nauman
Abstract: Systems and methods disclosed herein relate to fine-tuning machine learning (ML) chatbots for an enterprise. The systems and methods may use ML chatbots and/or generative ML to provide information to a user in a manner emulating the traits of a person. The systems and methods may fine-tune a base ML model, and use the fine-tuned ML model for the ML chatbot. The user may indicate a person associated with the fine-tuned ML model, and the fine-tuned ML model associated with the person may be loaded for the ML chatbot.
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公开(公告)号:US20240428259A1
公开(公告)日:2024-12-26
申请号:US18506422
申请日:2023-11-10
Inventor: Ross Wheeler , Lauren Mitchell , Jose Ivan Gutierrez , Anthony Welcome , Steve Amancha
IPC: G06Q30/015 , G06F40/40
Abstract: Apparatuses, systems and methods are disclosed for providing customer-specific information. The method comprises: (1) receiving, by one or more processors from a user device, a first prompt associated with a customer; (2) creating, by the one or more processors, a vector associated with the first prompt; (3) comparing, by the one or more processors, the vector associated with the first prompt with vectors associated with a plurality of documents associated with the customer to identify one or more candidate documents from the plurality of documents; (4) creating, by the one or more processors, a second prompt based upon the first prompt and the one or more candidate documents; (5) inputting, by the one or more processors, the second prompt into a chatbot to obtain a response to the second prompt; and/or (6) presenting, by the one or more processors, the response via the user device.
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公开(公告)号:US20240412313A1
公开(公告)日:2024-12-12
申请号:US18377173
申请日:2023-10-05
Inventor: Ross Wheeler , Jose Ivan Gutierrez , Lauren Mitchell , Anthony Welcome , Steve Amancha
Abstract: Apparatuses, systems, and methods are provided for career development are provided. The method comprises: (1) receiving, by one or more processors from a user device, an information element associated with a user; (2) generating, by the one or more processors via a chatbot, career development suggestions based upon the information element associated with the user; and/or (3) presenting, by the one or more processors to the user via the user device, the career development suggestions. The chatbot may implement a trained model.
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