Building management system with equipment service recommendations and analytics using large language model fine-tuned with equipment service records
AssigneeTyco Fire & Security GmbH
InventorsYoung M. Lee, Wenwen Zhao, Sheng You, Arunkumar Vedhathiri
Life of this patent
Estimating the term…
Abstract
A method includes generating a plurality of data pairs by prompting a generative AI model to output, for each of a plurality of service records, a data pair comprising a question and an answer. The question relates to an equipment issue indicated in the service record and the answer relates to a service task indicated in the service record. The method also includes fine-tuning the generative AI model using the plurality of data pairs and providing a service recommendation using the generative AI model.
Claims20
A method, comprising:
- generating a fine-tuning dataset by:
- prompting a generative AI model to isolate, from a plurality of service or warranty records, a problem, a cause, and a solution indicated in the service or warranty record;
- structuring, for the plurality of service or warranty records, the problem, the cause, and the solution as at least one question-and-answer pair;
- and
- aggregating the question-and-answer pairs for the plurality of service or warranty records as the fine-tuning dataset;
- and
- fine-tuning at least one of the generative AI model or a second AI model using the fine-tuning dataset.
One or more non-transitory computer-readable media storing program instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:
- generating a fine-tuning dataset by:
- prompting a generative AI model to isolate, from a plurality of service or warranty records, a problem, a cause, and a solution indicated in the service or warranty record;
- structuring, for the plurality of service or warranty records, the problem, the cause, and the solution as at least one question-and-answer pair;
- and
- aggregating the question-and-answer pairs for the plurality of service or warranty records as the fine-tuning dataset;
- and
- fine-tuning at least one of the generative AI model or a second AI model using the fine-tuning dataset.
A building system, comprising:
- building equipment configured to heat, cool, or ventilate a building;
- a computer system programmed to:
- generate a fine-tuning dataset by:
- prompting a generative AI model to isolate, from a plurality of service or warranty records, a problem, a cause, and a solution indicated in the service or warranty record;
- structuring, for the plurality of service or warranty records, the problem, the cause, and the solution as at least one question-and-answer pair;
- and
- aggregating the question-and-answer pairs for the plurality of service or warranty records as the fine-tuning dataset;
- and
- generate a fine-tuned model by fine-tuning at least one of the generative AI model or a second AI model using the fine-tuning dataset;
- apply the fine-tuned model to affect operations of the building equipment.
Dependencies are inferred from the claim text.