Identifying and analyzing actions from vector representations of alphanumeric characters using a large language model
US12197859B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2024 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Jul 23, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/216
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The systems and methods disclosed herein receive an output generation request from that includes input for generating an output using a language model. The input includes a set of alphanumeric characters associated with operative standards for a first set of actions. The system divides the set of alphanumeric characters into text subsets. For each text subset, a vector representation is determined. Prompts are created for each vector representation including the set of alphanumeric characters, query contexts, keywords, and/or the text subset. Each vector representation's prompt is input into the language model, which generates a second set of actions of related actions, where subsequently generated actions are based on prior generated actions. The system aggregates the second set of actions into a third set of actions and displays a graphical layout. The graphical layout displays a representation of the set of alphanumeric characters and the corresponding actions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.