Domain-specific generative machine learning models
US11855860B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2023 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Mar 31, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plurality of resolved incident tickets may each include a worklog providing a history of actions taken during attempts to resolve a corresponding resolved incident and a resolution having at least one resolution statement. An iterative processing of the plurality of resolved incident tickets may include processing each resolution statement of the resolution with at least one domain-specific statement classifier specific to the incident domain to either discard or retain a classified resolution statement; processing each retained classified resolution statement in conjunction with the worklog to determine whether to discard or retain the resolved incident; providing an updated resolution for the resolved incident when the resolved incident is retained, and adding the resolved incident with the updated resolution to the processed incident tickets. Then, at least one machine learning model may be trained to process a new incident ticket, using the processed incident tickets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.