Invention Grant
- Patent Title: Network-accessible machine learning model training and hosting system
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Application No.: US15821585Application Date: 2017-11-22
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Publication No.: US11977958B2Publication Date: 2024-05-07
- Inventor: Thomas Albert Faulhaber, Jr. , Stefano Stefani , Owen Thomas
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06F9/455
- IPC: G06F9/455 ; G06F9/50 ; G06N20/00 ; G06N20/10

Abstract:
A network-accessible machine learning service is provided herein. For example, the network-accessible machine learning service provider can operate one or more physical computing devices accessible to user devices via a network. These physical computing device(s) can host virtual machine instances that are configured to train machine learning models using training data referenced by a user device. These physical computing device(s) can further host virtual machine instances that are configured to execute trained machine learning models in response to user-provided inputs, generating outputs that are stored and/or transmitted to user devices via the network.
Public/Granted literature
- US11797878B2 Network-accessible machine learning model training and hosting system Public/Granted day:2023-10-24
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