Patent ID: 11893520
Assignee: CEREBRI AI INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. A tangible, non-transitory, machine-readable medium, storing instructions that when executed by one or more processors effectuate operations comprising:
obtaining, with one or more processors, a first trained machine learning model accessible to a first entity, wherein:
the first machine learning model is trained on a first training set that includes data the first entity is not permitted to provide to a second entity,
the first trained machine learning model is configured to output tokens, and
the tokens do not reveal more than a threshold amount of information about the data the first entity is not permitted to provide to the second entity;

receiving, with one or more processors, a first set of input features with the first trained machine learning model and, in response, outputting a first token; and
causing, with one or more processors, the first token and a first value associated with the first token to be input into a second trained machine learning model accessible to the second entity, wherein the first value associated with the first token is a token-context value corresponding to the first token, and wherein at least some of the a first set of input features are not provided to the second trained machine learning model.