Identifying prompts used for training of inference models
US11934792B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 2023 |
| Grant date | Mar 19, 2024 |
| 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 identifying prompts used for training of inference models are provided. In some examples, a specific textual prompt in a natural language may be received. Further, data based on at least one parameter of an inference model may be accessed. The inference 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 include a respective textual content and a respective media content. The data and the specific textual prompt may be analyzed to determine a likelihood that the specific textual prompt is included in at least one training example of the plurality of training examples. A digital signal indicative of the likelihood that the specific textual prompt is included in at least one training example of the plurality of training examples may be generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.