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公开(公告)号:US11449796B2
公开(公告)日:2022-09-20
申请号:US16578060
申请日:2019-09-20
Applicant: Amazon Technologies, Inc.
Inventor: Sangil Song , Yongsik Yoon , Kamal Kant Gupta , Saileshwar Krishnamurthy , Stefano Stefani , Sudipta Sengupta , Jaeyun Noh
IPC: G06F7/00 , G06N20/00 , G06F16/242 , G06F16/2453 , G06N5/04
Abstract: Techniques for making machine learning inference calls for database query processing are described. In some embodiments, a method of making machine learning inference calls for database query processing may include generating a first batch of machine learning requests based at least on a query to be performed on data stored in a database service, wherein the query identifies a machine learning service, sending the first batch of machine learning requests to an input buffer of an asynchronous request handler, the asynchronous request handler to generate a second batch of machine learning requests based on the first batch of machine learning requests, and obtaining a plurality of machine learning responses from an output buffer of the asynchronous request handler, the machine learning responses generated by the machine learning service using a machine learning model in response to receiving the second batch of machine learning requests.
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公开(公告)号:US11775868B1
公开(公告)日:2023-10-03
申请号:US17884955
申请日:2022-08-10
Applicant: Amazon Technologies, Inc.
Inventor: Sangil Song , Yongsik Yoon , Kamal Kant Gupta , Saileshwar Krishnamurthy , Stefano Stefani , Sudipta Sengupta , Jaeyun Noh
IPC: G06F7/00 , G06N20/00 , G06F16/242 , G06F16/2453 , G06N5/04
CPC classification number: G06N20/00 , G06F16/2433 , G06F16/24542 , G06N5/04
Abstract: Techniques for making machine learning inference calls for database query processing are described. In some embodiments, a method of making machine learning inference calls for database query processing may include generating a first batch of machine learning requests based at least on a query to be performed on data stored in a database service, wherein the query identifies a machine learning service, sending the first batch of machine learning requests to an input buffer of an asynchronous request handler, the asynchronous request handler to generate a second batch of machine learning requests based on the first batch of machine learning requests, and obtaining a plurality of machine learning responses from an output buffer of the asynchronous request handler, the machine learning responses generated by the machine learning service using a machine learning model in response to receiving the second batch of machine learning requests.
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