Filtering materials based on user intent capture using large language models
US12393573B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2024 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Jun 28, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2119/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments are directed towards techniques for determining materials for computer-generated designs that include generating a query prompt based on an assembly context, transmitting the query prompt to a plurality of large language model (LLM) agents for processing, receiving a plurality of material attribute filters from the plurality of LLM agents, where each LLM generates a different material attribute filter when processing the query prompt, combining the material attribute filters included in the plurality of material attribute filters to produce a material query, querying a material database using the material query to identify at least one potential material to use for a design, evaluating simulation results to determine whether the at least one material is an appropriate material to use for the design.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.