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公开(公告)号:US11978438B1
公开(公告)日:2024-05-07
申请号:US17215383
申请日:2021-03-29
Applicant: Amazon Technologies, Inc.
Inventor: Anil K. Ramakrishna , Rahul Gupta , Yuval Merhav , Zefei Li , Heather Brooke Spetalnick
CPC classification number: G10L15/1815 , G06N20/00 , G10L15/063 , G10L25/27
Abstract: Techniques for updating a machine learning (ML) model are described. A device or system may receive input data corresponding to a natural or non-natural language (e.g., gesture) input. Using a first ML model, the device or system may determine the input data corresponds to a data category of a plurality of data categories. Based on the data category, the device or system may select a ML training type from among a plurality of ML training types. Using the input data, the device or system may perform the selected ML training type with respect to a runtime ML model to generate an updated ML model.
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公开(公告)号:US20240296838A1
公开(公告)日:2024-09-05
申请号:US18643372
申请日:2024-04-23
Applicant: Amazon Technologies, Inc.
Inventor: Anil K. Ramakrishna , Rahul Gupta , Yuval Merhav , Zefei Li , Heather Brooke Spetalnick
CPC classification number: G10L15/1815 , G06N20/00 , G10L15/063 , G10L25/27
Abstract: Techniques for updating a machine learning (ML) model are described. A device or system may receive input data corresponding to a natural or non-natural language (e.g., gesture) input. Using a first ML model, the device or system may determine the input data corresponds to a data category of a plurality of data categories. Based on the data category, the device or system may select a ML training type from among a plurality of ML training types. Using the input data, the device or system may perform the selected ML training type with respect to a runtime ML model to generate an updated ML model.
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