Machine learning-based systems and methods for synthesizing digital correspondences and transactional artifacts
US11836170B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2023 |
| Grant date | Dec 5, 2023 |
| Priority date | — |
| Expiry date | Jun 29, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/3329
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method includes identifying unstructured conversational dialogue data sourced from communications between a subscriber and a conversational dialogue agent; automatically mapping, via the one or more computers, one or more distinct unstructured data synthetization requests defined in the unstructured conversational dialogue data to a distinct artifact synthetization objective defined within a synthetization objective distillation layer; generating, via the one or more computers, a plurality of artifact synthetization prompts corresponding to the plurality of unstructured synthetization data requests based on the distinct artifact synthetization objective mapped to each of the one or more distinct unstructured synthetization data requests; and generating, by a target machine learning model, a plurality of synthesized digital artifacts based on an input of the plurality of artifact synthetization prompts generated for the plurality of unstructured synthetization data requests.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.