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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Bibliographische Detailangaben
Hauptverfasser:	TORMOEN, Daniel, Carl, KIRCHHOFF, Alexander James Oscar, Craver, PRABHU, Anish, Jnyaneshwar, FARHADI, Ali, BAGHERINEZHAD, Hessam, KARL, Robert, Stephen, Jr, DEL MUNDO, Carlo Eduardo, Cabanero, WEAVER, Matthew, S, LEBRECHT, Sophie, HORTON, Maxwell, Christian, RASTEGARI, Mohammad
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
Online-Zugang:	Volltext bestellen
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Beschreibung
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 AI model 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.