US 2026/0037804 A1Published application

Constructing an automated telecommunications operation model

AssigneeMicrosoft Technology Licensing, LLC

InventorsManikanta KOTARU, Ganesh ANANTHANARAYANAN, Sanjeev MEHROTRA, Stefan SAROIU, Paramvir BAHL, Ryan Andrew BECKETT

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Abstract

The techniques disclosed herein provide a system for constructing an automated telecommunications network operation model prior to deployment in a telecommunications network for completing downstream tasks. In general, the performance of artificial intelligence agents such as large language models can degrade when applied to highly specific and/or complex domains such as telecommunications network operations resulting in erroneous outputs and potentially leading to network outages. As such, the present techniques finetune a large language model using a domain specific dataset to establish a specialized context directed to telecommunications network operations. That is, the large language model is pre-trained to establish the specialized context prior to deployment in the operation of a telecommunications network. In this way, the automated telecommunications network operation model can support a broad range of tasks within the context of a telecommunications network such as generating network configurations and question answering while also achieving strong performance.

Claims20

Dependent claims

A method for constructing a network operation model by finetuning a foundation model utilizing a domain-specific dataset to establish a specialized context directed to telecommunications network operations, the specialized context enabling the network operation model to execute user-defined tasks in a telecommunications network, the method comprising:

accessing, by a computing system, the domain-specific training dataset containing unstructured telecommunications network information comprising documentation of one or more telecommunications network standards, one or more examples of valid network configuration settings, and one or more code examples from a system repository of the telecommunications network;
generating, by the computing system, a training structure for the network operation model wherein:
the training structure comprises a plurality of training inputs and a corresponding plurality of training outputs based on the domain-specific training dataset;
and
the training structure defines one or more output constraints based on the domain-specific training dataset, wherein the output constraints define valid outputs of the network operation model;
inputting the plurality of training inputs to the network operation model;
receiving, from the network operation model, a plurality of model outputs in response to the plurality of training inputs;
evaluating the plurality of model outputs in accordance with the corresponding plurality of training outputs and the output constraints of the training structure for the network operation model;
adjusting one or more aspects of the network operation model based on the evaluating;
and
deploying the network operation model in the telecommunications network to automatically execute user-defined tasks in the telecommunications network, wherein the user-defined tasks include a natural language query instructing the network operation model to execute one or more actions.

8 more elements

A system for implementing an automated telecommunications network operation model for executing downstream tasks in a telecommunications network, the system comprising:

a processing system;
and
a computer-readable medium having encoded thereon computer-readable instructions that when executed by the processing system causes the system to perform operations comprising:
receiving a domain-specific training dataset contains unstructured telecommunications network information comprising documentation of one or more telecommunications network standards, one or more examples of valid network configuration settings, and one or more code examples from a system repository of the telecommunications network;
generating a training structure for the automated telecommunications network operation model wherein:
the training structure comprises a plurality of training inputs and a corresponding plurality of training outputs based on the domain-specific training dataset;
and
the training structure defines one or more output constraints based on the domain-specific training dataset wherein the output constraints define valid outputs of the automated telecommunications network operation model;
providing the plurality of training inputs to the automated telecommunications network operation model;
receiving, from the automated telecommunications network operation model, a plurality of model outputs in response to the plurality of training inputs;
evaluating the plurality of model outputs in accordance with the corresponding plurality of training outputs and the output constraints of the training structure for the automated telecommunications network operation model;
adjusting one or more aspects of the automated telecommunications network operation model based on the evaluating;
and
deploying the automated telecommunications network operation model in the telecommunications network for automatically executing downstream tasks in the telecommunications network.

11 more elements

A computer-readable storage medium for constructing an automated telecommunications network operation model for executing downstream tasks in a telecommunications network, the computer-readable storage medium having encoded thereon computer-readable instructions that when executed by a system causes the system to execute operations comprising:

receiving a domain-specific training dataset contains unstructured telecommunications network information comprising documentation of one or more telecommunications network standards, one or more examples of valid network configuration settings, and one or more code examples from a system repository of the telecommunications network;
generating a training structure for the automated telecommunications network operation model wherein:
the training structure comprises a plurality of training inputs and a corresponding plurality of training outputs based on the domain-specific training dataset;
and
the training structure defines one or more output constraints based on the domain-specific training dataset wherein the output constraints define valid outputs of the automated telecommunications network operation model;
providing the plurality of training inputs to the automated telecommunications network operation model;
receiving, from the automated telecommunications network operation model, a plurality of model outputs in response to the plurality of training inputs;
evaluating the plurality of model outputs in accordance with the corresponding plurality of training outputs and the output constraints of the training structure for the telecommunications network operation model;
adjusting one or more aspects of the automated telecommunications network operation model based on the evaluating;
and
deploying the automated telecommunications network operation model in the telecommunications network for executing downstream tasks.

8 more elements

Dependencies are inferred from the claim text.