| Autor: |
Zhou Jiehan, Cao Yang, Lu Quanbo, Zhang Yan, Liu Cong, Zhang Shouhua, Qu Junsuo |
| Jazyk: |
English<br />French |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 401, p 10009 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/202440110009 |
| Popis: |
Industrial large models are attracting significant attention for their roles in improving industrial production efficiency and product quality. This paper categorises and reviews current research on industrial large models in three main areas: pre-training, fine-tuning, and Retrieval-Augmented Generation (RAG). It also introduces a generic platform for industrial large models, including a model for interaction between industrial large and small models. Furthermore, it specifies the application areas of large industrial models within product lifecycle management, and discusses the challenges encountered during their development. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
