Executing network functions via custom large language models
AssigneeAT&T Intellectual Property I, L.P.
InventorsJoseph Soryal, Venson Shaw, Jason V. Chang
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Abstract
A processing system deployed in a cellular network may exchange communications with a network device for a predefined period of time, may generate a custom machine learning model based on messages contained in the communications, and may execute a network function on the processing system using the custom machine learning model for interacting with the network device.
Claims20
A method comprising:
- exchanging, by a processing system including at least one processor deployed in a cellular network, communications with a network device for a predefined period of time;
- generating, by the processing system, a custom machine learning model based on messages contained in the communications;
- and
- executing, by the processing system, a network function on the processing system using the custom machine learning model for interacting with the network device.
A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor deployed in a cellular network, cause the processing system to perform operations, the operations comprising:
- exchanging communications with a network device for a predefined period of time;
- generating a custom machine learning model based on messages contained in the communications;
- and
- executing a network function on the processing system using the custom machine learning model for interacting with the network device.
An apparatus comprising:
- a processing system including at least one processor;
- and
- a non-transitory computer-readable medium storing instructions which, when executed by the processing system when deployed in a cellular network, cause the processing system to perform operations, the operations comprising:
- exchanging communications with a network device for a predefined period of time;
- generating a custom machine learning model based on messages contained in the communications;
- and
- executing a network function on the processing system using the custom machine learning model for interacting with the network device.
Dependencies are inferred from the claim text.