Generating content using a generative model without relying on selected training examples
US12223281B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 2023 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Nov 7, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods and non-transitory computer readable media for generating content using a generative model without relying on selected training examples are provided. An input indicative of a desire to generate a new content using a generative model may be received. The generative model may be a result of training a machine learning model using a plurality of training examples. Each training example of the plurality of training examples may be associated with a respective content. Further, an indication of a particular subgroup of at least one but not all of the plurality of training examples may be obtained. Based on the indication, the input and the generative model may be used to generate the new content, abstaining from basing the generation of the new content on any training example included in the particular subgroup. The new content may be provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.