ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS

Invention Application

US20190018843A1 ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS 审中-公开

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Patent Title: ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS
Application No.: US16116833

Application Date: 2018-08-29
Publication No.: US20190018843A1

Publication Date: 2019-01-17
Inventor: Franz Josef Och , Jeffrey Dean , Thorsten Brants , Alexander Mark Franz , Jay Ponte , Peng Xu , Sha-Mayn Teh , Jeffrey Chin , Ignacio E. Thayer , Anton Carver , Daniel Rosart , John S. Hawkins , Karel Driesen
Applicant: Google LLC
Main IPC: G06F17/28
IPC: G06F17/28

ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS

Abstract:

Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.

Public/Granted literature

US10885285B2 Encoding and adaptive, scalable accessing of distributed models Public/Granted day:2021-01-05

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