GENERATING A CUSTOMIZED MACHINE-LEARNING MODEL TO PERFORM TASKS USING ARTIFICIAL INTELLIGENCE

In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or m...

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Hauptverfasser: TORMOEN DANIEL CARL, LEBRECHT SOPHIE, KIRCHHOFF ALEXANDER JAMES OSCAR CRAVER, HORTON MAXWELL CHRISTIAN, BAGHERINEZHAD HESSAM, DEL MUNDO CARLO EDUARDO CABANERO, RASTEGARI MOHAMMAD, KARL ROBERT STEPHEN JR, FARHADI ALI, WEAVER MATTHEW S, PRABHU ANISH JNYANESHWAR
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AImodel may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices. 在一个实施方案中,一种方法包括向用户的客户端系统提供用于显示的用户界面。该用户界面可包括用于选择用于集成到用户应用程序中的人工智能(AI)任务的第一组选项、用于选择该用户希望在其上部署所选择的AI任务的一个或多个设备的第二组选项以及用于选择特定于所选择的设备的一个或多个性能约束的第三组选项。可基于该第一组选项、该第