Patents by Inventor Prince Gill

Prince Gill has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Methods, mediums, and systems for providing a model for an end-user device
    Patent number: 11501081
    Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: November 15, 2022
    Assignee: Meta Platforms, Inc.
    Inventors: Prince Gill, Honglei Liu, Wenhai Yang, Kshitiz Malik, Nanshu Wang, David Reiss
  • Methods, mediums, and systems for training a model
    Patent number: 11455555
    Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: September 27, 2022
    Assignee: META PLATFORMS, INC.
    Inventors: Prince Gill, Honglei Liu, Wenhai Yang, Kshitiz Malik, Nanshu Wang, David Reiss
  • Methods, mediums, and systems for representing a model in a memory of device
    Patent number: 11227122
    Abstract: Exemplary embodiments relate to methods, mediums, and systems for moving language models from a server to the client device. Such embodiments may be deployed in an environment where the server is not able to provide modeling services to the clients, such as an end-to-end encrypted (E2EE) environment. Several different techniques are described to address issues of size and complexity reduction, model architecture optimization, model training, battery power reduction, and latency reduction.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: January 18, 2022
    Assignee: FACEBOOK, INC.
    Inventors: Prince Gill, Honglei Liu, Wenhai Yang, Kshitiz Malik, Nanshu Wang, David Reiss