Industrial‐generative pre‐trained transformer for intelligent manufacturing systems
Abstract Manufacturing enterprises are facing how to utilise industrial knowledge and continuously accumulating massive unlabelled data to achieve human‐cyber‐physical collaborative and autonomous intelligence. Recently, artificial intelligence‐generative content has achieved great performance in se...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-06-01
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| Series: | IET Collaborative Intelligent Manufacturing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cim2.12078 |
| _version_ | 1797793791901433856 |
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| author | Han Wang Min Liu Weiming Shen |
| author_facet | Han Wang Min Liu Weiming Shen |
| author_sort | Han Wang |
| collection | DOAJ |
| description | Abstract Manufacturing enterprises are facing how to utilise industrial knowledge and continuously accumulating massive unlabelled data to achieve human‐cyber‐physical collaborative and autonomous intelligence. Recently, artificial intelligence‐generative content has achieved great performance in several domains and scenarios. A new concept of industrial generative pre‐trained Transformer (Industrial‐GPT) for intelligent manufacturing systems is introduced to solve various scenario tasks. It refers to pre‐training with industrial datasets, fine‐tuning with industrial scenarios, and reinforcement learning with domain knowledge. To enable Industrial‐GPT to better empower the manufacturing industry, Model as a Service is introduced to cloud computing as a new service mode, which provides a more efficient and flexible service approach by directly invoking the general model of the upper layer and customising it for specific businesses. Then, the operation mechanism of the Industrial‐GPT driven intelligent manufacturing system is described. Finally, the challenges and prospects of applying the Industrial‐GPT in the manufacturing industry are discussed. |
| first_indexed | 2024-03-13T02:53:26Z |
| format | Article |
| id | doaj.art-4e85e8c037a945e79399a732b3838330 |
| institution | Directory Open Access Journal |
| issn | 2516-8398 |
| language | English |
| last_indexed | 2024-03-13T02:53:26Z |
| publishDate | 2023-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Collaborative Intelligent Manufacturing |
| spelling | doaj.art-4e85e8c037a945e79399a732b38383302023-06-28T08:12:28ZengWileyIET Collaborative Intelligent Manufacturing2516-83982023-06-0152n/an/a10.1049/cim2.12078Industrial‐generative pre‐trained transformer for intelligent manufacturing systemsHan Wang0Min Liu1Weiming Shen2College of Electronics and Information Engineering Tongji University Shanghai ChinaCollege of Electronics and Information Engineering Tongji University Shanghai ChinaState Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan ChinaAbstract Manufacturing enterprises are facing how to utilise industrial knowledge and continuously accumulating massive unlabelled data to achieve human‐cyber‐physical collaborative and autonomous intelligence. Recently, artificial intelligence‐generative content has achieved great performance in several domains and scenarios. A new concept of industrial generative pre‐trained Transformer (Industrial‐GPT) for intelligent manufacturing systems is introduced to solve various scenario tasks. It refers to pre‐training with industrial datasets, fine‐tuning with industrial scenarios, and reinforcement learning with domain knowledge. To enable Industrial‐GPT to better empower the manufacturing industry, Model as a Service is introduced to cloud computing as a new service mode, which provides a more efficient and flexible service approach by directly invoking the general model of the upper layer and customising it for specific businesses. Then, the operation mechanism of the Industrial‐GPT driven intelligent manufacturing system is described. Finally, the challenges and prospects of applying the Industrial‐GPT in the manufacturing industry are discussed.https://doi.org/10.1049/cim2.12078intelligent manufacturing systemslearning (artificial intelligence) |
| spellingShingle | Han Wang Min Liu Weiming Shen Industrial‐generative pre‐trained transformer for intelligent manufacturing systems IET Collaborative Intelligent Manufacturing intelligent manufacturing systems learning (artificial intelligence) |
| title | Industrial‐generative pre‐trained transformer for intelligent manufacturing systems |
| title_full | Industrial‐generative pre‐trained transformer for intelligent manufacturing systems |
| title_fullStr | Industrial‐generative pre‐trained transformer for intelligent manufacturing systems |
| title_full_unstemmed | Industrial‐generative pre‐trained transformer for intelligent manufacturing systems |
| title_short | Industrial‐generative pre‐trained transformer for intelligent manufacturing systems |
| title_sort | industrial generative pre trained transformer for intelligent manufacturing systems |
| topic | intelligent manufacturing systems learning (artificial intelligence) |
| url | https://doi.org/10.1049/cim2.12078 |
| work_keys_str_mv | AT hanwang industrialgenerativepretrainedtransformerforintelligentmanufacturingsystems AT minliu industrialgenerativepretrainedtransformerforintelligentmanufacturingsystems AT weimingshen industrialgenerativepretrainedtransformerforintelligentmanufacturingsystems |