Machine learning model updating
US11978438B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2021 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Jan 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for updating a machine learning (ML) model are described. A device or system may receive input data corresponding to a natural or non-natural language (e.g., gesture) input. Using a first ML model, the device or system may determine the input data corresponds to a data category of a plurality of data categories. Based on the data category, the device or system may select a ML training type from among a plurality of ML training types. Using the input data, the device or system may perform the selected ML training type with respect to a runtime ML model to generate an updated ML model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.