Invention Grant
- Patent Title: Methods, mediums, and systems for training a model
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Application No.: US16731321Application Date: 2019-12-31
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Publication No.: US11455555B1Publication Date: 2022-09-27
- Inventor: Prince Gill , Honglei Liu , Wenhai Yang , Kshitiz Malik , Nanshu Wang , David Reiss
- Applicant: META PLATFORMS, INC.
- Applicant Address: US CA Menlo Park
- Assignee: META PLATFORMS, INC.
- Current Assignee: META PLATFORMS, INC.
- Current Assignee Address: US CA Menlo Park
- Agency: KDB Firm PLLC
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00

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.
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