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US Patent 11620113 Machine learning model representation and execution

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
116201130
Patent Inventor Names
Jeffrey Dix0
Jeffrey B. Saxon0
Date of Patent
April 4, 2023
0
Patent Application Number
178351210
Date Filed
June 8, 2022
0
Patent Citations
‌
US Patent 10831519 Packaging and deploying algorithms for flexible machine learning
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US Patent 10860629 Task-oriented dialog systems utilizing combined supervised and reinforcement learning
0
Patent Primary Examiner
‌
Marina Lee
0

Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving user specified metadata for execution tasks associated with a machine learning (ML) model; receiving artifacts specifying program code for implementing the ML model; creating a file system structure for a container to hold the ML model; receiving environment variables for operation of the ML model; and building the container including a model image for the ML model. Other embodiments are disclosed.

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