Using intent-based rankings to generate large language model responses
US12406008B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2025 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Jan 15, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/93
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The systems and methods disclosed herein generates responses generated by artificial intelligence (AI) models such as large language models (LLM) using intent-based rankings of retrieved information. The systems and methods disclosed herein receives an output generation request for the generation of an output using a set of AI models. Using a first AI model, a set of documents are retrieved using the received output generation request. The set of documents are partitioned into chunks. The chunks are ranked using a distance between the vector representation of the received output generation request and the vector representation of each chunk. A second AI model classifies the output generation request and chunks using an intent of the respective output generation request or chunk, and generates a second set of rankings using the intents. The set of AI models generate a response using the second set of rankings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.