Systems and methods for generation and deployment of a human-personified virtual agent using pre-trained machine learning-based language models and a video response corpus
US11550831B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 24, 2022 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Jun 24, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for implementing a machine learning-based virtual dialogue agent includes computing an input embedding based on receiving a user input; computing, via a pre-trained machine learning language model, an embedding response inference based on the input embedding; searching, based on the embedding response inference, a response imprintation embedding space that includes a plurality of distinct embedding representations of potential text-based responses to the user input, wherein each of the plurality of distinct embedding representations is tethered to a distinct human-imprinted media response, and searching the response imprintation embedding space includes: searching the response imprintation embedding space based on an embedding search query, and returning a target embedding representation from the response imprintation embedding space based on the searching of the response imprintation embedding space; and executing, via a user interface of the machine learning-based virtual dialogue agent, a human-imprinted media response tethered to the target embedding representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.