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公开(公告)号：US20250005051A1
公开(公告)日：2025-01-02
申请号：US18344747
申请日：2023-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Sopan Khosla , Vinayshekhar Bannihatti Kumar , Rashmi Gangadharaiah , Deepak Seetharam Nadig , James W. Horsley , Abhijit S Barde
IPC: G06F16/332 , G06F9/54 , G06F16/33
Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.
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公开(公告)号：US20240160651A1
公开(公告)日：2024-05-16
申请号：US18065803
申请日：2022-12-14
Applicant: Amazon Technologies, Inc.
Inventor： Kasturi Bhattacharjee , Rashmi Gangadharaiah , Senthil C. Chidambaram , Ankit Kapoor , Sharon Shapira , Tony Chun Tung Ng , Deepak Seetharam Nadig
IPC: G06F16/2457 , G06F16/242 , G06F16/28
CPC classification number: G06F16/24578 , G06F16/242 , G06F16/285
Abstract: Systems and methods are used to detect underlying themes from a collection of documents at an aggregated level. A representative set of documents may be selected from a cluster of documents, with the representative set of documents corresponding to a general theme of the cluster. Candidate theme phrases may then be extracted from the documents and used to generate document embeddings and candidate phrase embeddings, which may be ranked, such as with a diversity-based ranking approach. Certain candidates may be selected from the ranking. Each of the documents forming the representative set may then be concatenated and a query embedding may be generated and ranked against the candidate phrases. In this manner, a collection of phrases associated with both the general underlying theme of the cluster, along with granular topics associated with that theme, may be identified.
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公开(公告)号：US10860629B1
公开(公告)日：2020-12-08
申请号：US15943287
申请日：2018-04-02
Applicant: Amazon Technologies, Inc.
Inventor： Rashmi Gangadharaiah , Balakrishnan Narayanaswamy , Charles Elkan
IPC: G06F16/332 , H04L12/58 , G06N20/00 , G06F16/33
Abstract: Techniques for intelligent task-oriented multi-turn dialog system automation are described. A seq2seq ML model can be trained using a corpus of training data and a loss function that is based at least in part on a distance to a goal. The seq2seq ML model can be provided a user utterance as an input, and a vector of a plurality of values output by a plurality of hidden units of a decoder of the seq2seq ML model can be used to select one or more candidate responses to the user utterance via a nearest neighbor algorithm. In some embodiments, the specially adapted seq2seq ML model can be trained using unsupervised learning, and can be adapted to select intelligent, coherent agent responses that move a task-oriented dialog toward its completion.
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公开(公告)号：US20250103656A1
公开(公告)日：2025-03-27
申请号：US18976213
申请日：2024-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Rashmi Gangadharaiah , Jonathan James Pezzino , James W. Horsley , Mira E Hall
IPC: G06F16/9032 , G06F40/35
Abstract: Methods, systems, and computer-readable media for interactive command generation for natural language input are disclosed. A natural language dialog system receives a natural language input for a dialog with a user. The system determines a state representation of the dialog based at least in part on the natural language input. The state representation indicates an operation offered by a service. The system generates a natural language output based at least in part on the natural language input. The natural language output solicits an additional natural language input for the dialog. The system determines an updated state representation of the dialog based at least in part on the additional natural language input and the state representation. The updated state representation indicates parameter value(s) for the operation. Based at least in part on the updated state representation, the system generates a command invoking the operation with the parameter value(s).
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公开(公告)号：US12197503B1
公开(公告)日：2025-01-14
申请号：US17039933
申请日：2020-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Rashmi Gangadharaiah , Jonathan James Pezzino , James W. Horsley , Mira E Hall
IPC: G06F16/9032 , G06F40/35
Abstract: Methods, systems, and computer-readable media for interactive command generation for natural language input are disclosed. A natural language dialog system receives a natural language input for a dialog with a user. The system determines a state representation of the dialog based at least in part on the natural language input. The state representation indicates an operation offered by a service. The system generates a natural language output based at least in part on the natural language input. The natural language output solicits an additional natural language input for the dialog. The system determines an updated state representation of the dialog based at least in part on the additional natural language input and the state representation. The updated state representation indicates parameter value(s) for the operation. Based at least in part on the updated state representation, the system generates a command invoking the operation with the parameter value(s).
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Patent Agency Ranking
公开(公告)号：US20250005058A1
公开(公告)日：2025-01-02
申请号：US18344707
申请日：2023-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Sopan Khosla , Vinayshekhar Bannihatti Kumar , Rashmi Gangadharaiah
IPC: G06F16/33
Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.
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公开(公告)号：US20250005052A1
公开(公告)日：2025-01-02
申请号：US18344756
申请日：2023-06-29
Applicant: Amazon Technologies, Inc.
IPC: G06F16/332 , G06F16/33 , G06F21/16 , G06F40/126
Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.
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8.发明授权公开(公告)号：US11797769B1
公开(公告)日：2023-10-24
申请号：US15841122
申请日：2017-12-13
Applicant: Amazon Technologies, Inc.
Inventor： Rashmi Gangadharaiah , Charles Elkan , Balakrishnan Narayanaswamy
CPC classification number: G06F40/284 , G06N3/045 , G06N3/08 , G06N20/00 , G10L15/1822 , H04L51/02 , G06F40/35 , G10L15/22
Abstract: In response to determining that a particular sequence of natural language input has been generated by a first entity participating in a multi-interaction dialog, a first representation of accumulated dialog state associated with the sequence is obtained from a machine learning model at an artificial intelligence service. Based on the first representation, a state response entry is selected from a collection of state response entries. The state response entry indicates a mapping between a second representation of accumulated dialog state, and a response recorded in a training example of the model. The recorded response is implemented.
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公开(公告)号：US11689432B1
公开(公告)日：2023-06-27
申请号：US17657437
申请日：2022-03-31
Applicant: Amazon Technologies, Inc.
Inventor： Kasturi Bhattacharjee , Rashmi Gangadharaiah , Sharon Shapira , Ankit Kapoor , Tony Chun Tung Ng , Senthil Chock Chidambaram , Deepak Seetharam Nadig
IPC: H04L41/5061 , H04L41/50 , H04L41/5074
CPC classification number: H04L41/5064 , H04L41/5032 , H04L41/5074
Abstract: The present disclosure generally relates to a feedback processing service that can receive customer input, as customer feedback corresponds to a service context. The feedback processing service aggregates semantically similar feedback as a cluster. Then, the feedback processing service can prioritize each of the clusters by ranking each of the clusters.
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公开(公告)号：US20250005057A1
公开(公告)日：2025-01-02
申请号：US18344698
申请日：2023-06-29
Applicant: Amazon Technologies, Inc.
Inventor： Sopan Khosla , Vinayshekhar Bannihatti Kumar , Rashmi Gangadharaiah , Deepak Seetharam Nadig , James W. Horsley , Abhijit S. Barde , Brijesh Luckria , Fawad Abbas , Bhaskar Hosahalli Rangaswamy , Michael W. Miller
IPC: G06F16/33 , G06F9/54 , G06F16/332 , G06F16/338 , G06F40/30 , G06F40/40 , G06N20/00
Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.
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