US 12,293,060 B1
Machine learning model access control
Abhijeet Dwivedi, Burlingame, CA (US)
Assigned to Interactive Aristotle, Inc., Burlingame, CA (US)
Filed by Interactive Aristotle, Inc., Burlingame, CA (US)
Filed on Sep. 26, 2024, as Appl. No. 18/897,356.
Claims priority of provisional application 63/571,887, filed on Mar. 29, 2024.
Int. Cl. G06F 3/0482 (2013.01)
CPC G06F 3/0482 (2013.01) 22 Claims
OG exemplary drawing
 
1. A system comprising at least one processor configured to perform the operations of:
displaying, via a user interface, a list comprising available control parameters that are selectable for use to control an input to a trained machine learning model;
receiving, via the user interface, a selection of one or more control parameters from the list for control of the input to the trained machine learning model;
distributing configuration information of the selected one or more control parameters to a client device;
receiving an input via the client device, the client device having an instance of the trained machine learning model;
determining whether the one or more control parameters applies to the received input and performing the operations of:
if any of the one or more control parameters applies to the received input then:
displaying, via the client device, a predefined control parameter response; or
 if none of the control parameters apply to the received input then:
providing as an input prompt, the received input, to the trained machine learning model; and
displaying, via the client device, an output generated by the trained machine learning model based in the input prompt.