MechRAG: a multimodal large language model for mechanical engineering
Guardat en:
| Publicat a: | Communications Engineering vol. 4, no. 1 (Dec 2025), p. 187 |
|---|---|
| Autor principal: | |
| Altres autors: | |
| Publicat: |
Springer Nature B.V.
|
| Matèries: | |
| Accés en línia: | Citation/Abstract Full Text Full Text - PDF |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3270902248 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2731-3395 | ||
| 024 | 7 | |a 10.1038/s44172-025-00517-z |2 doi | |
| 035 | |a 3270902248 | ||
| 045 | 2 | |b d20251201 |b d20251231 | |
| 100 | 1 | |a Li, Shuang |u University of Edinburgh, School of Engineering, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) | |
| 245 | 1 | |a MechRAG: a multimodal large language model for mechanical engineering | |
| 260 | |b Springer Nature B.V. |c Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Engineering design and manufacture are inherently multimodal activities in which engineers consult and produce diverse data and representations across various engineering disciplines and product lifecycle stages. Although well-established digital formats exist for these representations, their use remains restricted within specialist applications, creating silos that limit cross-domain integration. Here we introduce mechanical retrieval-augmented generation (MechRAG), a multimodal large language model architecture designed to unify information from multiple engineering representations typically found in computer-aided engineering and computer-aided design environments. Results demonstrate that MechRAG achieves high accuracy in routinely performed mechanical activities such as data-management or classification tasks, and effectively replicates engineer-level reasoning in more inferential and subjective contexts. Our findings suggest that such conversational interfaces enhance engineering productivity, facilitate more interactive paradigms, and drive transformative workflows across various stages of design and manufacturing.Shuang Li and colleague propose a multimodal, retrieval-augmented, large language model MechRAG. It integrates heterogeneous CAD/CAE digital assets into its responses to engineering questions delivered as prompts in a conversational interface | |
| 653 | |a Language | ||
| 653 | |a Software | ||
| 653 | |a Product life cycle | ||
| 653 | |a Large language models | ||
| 653 | |a Design engineering | ||
| 653 | |a Knowledge | ||
| 653 | |a Neural networks | ||
| 653 | |a Computer aided design--CAD | ||
| 653 | |a Classification | ||
| 653 | |a Retrieval | ||
| 653 | |a Mechanical engineering | ||
| 653 | |a Engineers | ||
| 653 | |a Natural language processing | ||
| 653 | |a Queries | ||
| 653 | |a Computer aided engineering--CAE | ||
| 653 | |a Representations | ||
| 653 | |a Semantics | ||
| 700 | 1 | |a Corney, Jonathan |u University of Edinburgh, School of Engineering, Edinburgh, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988) | |
| 773 | 0 | |t Communications Engineering |g vol. 4, no. 1 (Dec 2025), p. 187 | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3270902248/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3270902248/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3270902248/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |