Latency-, accuracy-, and privacy-sensitive tuning of artificial intelligence model selection parameters and systems and methods of the same
US12321862B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 11, 2024 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Sep 11, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed data generation platform enables generation of an output in response to an output generation request based on tuning a routing model that enables model selection in a dynamic, system-sensitive manner. For example, the disclosed data generation platform receives an output generation request for a user device and generates a risk indicator associated with the output generation request. The platform can determine a current system state and generate a set of performance indicators and associated weighting values based on the risk indicator and the system state. The data generation platform can select a first routing model based on the weighting values. The data generation platform can provide the output generation request to the first routing model to generate an indication of a model with which to generate a model output responsive to the input. The data generation platform can enable access to the generated model output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.