US 2026/0086524 A1 · MACHINE LEARNING TECHNIQUES FOR GENERATING CONTROLLER LOGIC

Abstract

Embodiments of the present disclosure relate to generating controller logic. Indication of a controller logic generation request associated with an asset identifier may be received. A prompt template set associated with a controller logic generation workflow may be identified based on the asset identifier. The prompt template of the prompt template set may comprise one or more instruction sets. The prompt template set may be input into a large language model comprising one or more transformer neural networks and configured to generate a controller logic configuration file for the asset identifier based on the prompt template set and intent classification associated with each prompt template. The controller logic configuration file may be received from the large language model. Performance of one or more prediction-based actions may be initiated based on the controller logic configuration file.

Claims20

Dependent claims

A computer-implemented method for generating controller logic, the computer-implemented method comprising:

receiving, by one or more processors, indication of a controller logic generation request associated with an asset identifier;
identifying, by the one or more processors and based on the asset identifier, a prompt template set associated with a controller logic generation workflow, wherein each prompt template of the prompt template set comprises one or more instruction sets;
inputting, by the one or more processors, the prompt template set into a large language model comprising one or more transformer neural networks and configured to generate a controller logic configuration file for the asset identifier based on the prompt template set and intent classification associated with each prompt template;
receiving, by the one or more processors and from the large language model, the controller logic configuration file;
and,
initiating, by the one or more processors, performance of one or more prediction-based actions based on the controller logic configuration file.

3 more elements

An apparatus for generating controller logic, the apparatus comprising at least one processor and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus to:

receive indication of a controller logic generation request associated with an asset identifier;
identify based on the asset identifier, a prompt template set associated with a controller logic generation workflow, wherein each prompt template of the prompt template set comprises one or more instruction sets;
input the prompt template set into a large language model comprising one or more transformer neural networks and configured to generate a controller logic configuration file for the asset identifier based on the prompt template set and intent classification associated with each prompt template;
receive, from the large language model, the controller logic configuration file;
and,
initiate performance of one or more prediction-based actions based on the controller logic configuration file.

3 more elements

Dependencies are inferred from the claim text.

Machine learning techniques for generating controller logic

Life of this patent

Machine learning techniques for generating controller logic

Life of this patent

Abstract

Claims20