Few-shot language model training and implementation
US11847418B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 17, 2021 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | Sep 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0985
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A technique making use of a few-shot model to determine whether a query text content belongs to a same language as a small set of examples, or alternatively provide a next member in the same language to the small set of examples. The related few-shot model makes use of convolutional models that are trained in a “learning-to-learn” fashion such that the models know how to evaluate few-shots that belong to the same language. The term “language” in this usage is broader than spoken languages (e.g., English, Spanish, German, etc.). “Language” refers to a category, or data domain, of expression through characters. Belonging to a given language is not specifically based on what the language is, but the customs or traits expressed in that language.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.