The Application Framework of the Generative Large Language Model in the Industrial Field

With the rapid development of artificial intelligence technologies, particularly the development of generative Large Language Models (LLMs), new opportunities have emerged in the field of industry. This paper first reviews and analyzes the applications of LLMs in the industrial sector, summarizing their innovations and achievements in areas such as product development, production management, operational services etc. Next, an industrial application framework and flowchart based on LLMs is proposed, which can help to achieve comprehensive intelligence and efficiency improvement in the industrial field. Then, two cases from an aviation maintenance company and a crystal oscillator manufacturing company are used in this paper to validate the proposed method. Finally, the future development trends of LLMs in the industrial sector are discussed.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/cbase64041.2024.10824657
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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The Application Framework of the Generative Large Language Model in the Industrial Field

L. Yang, Guangmin Song, Junmei Feng, Kang Zeng et al.
1 citations
Natural Language Processing Techniques
0.35
article

The Application Framework of the Generative Large Language Model in the Industrial Field

L. Yang, Guangmin Song, Junmei Feng, Kang Zeng, Xianna Yang, Zeng Ge
article en
1 citations

Abstract

With the rapid development of artificial intelligence technologies, particularly the development of generative Large Language Models (LLMs), new opportunities have emerged in the field of industry. This paper first reviews and analyzes the applications of LLMs in the industrial sector, summarizing their innovations and achievements in areas such as product development, production management, operational services etc. Next, an industrial application framework and flowchart based on LLMs is proposed, which can help to achieve comprehensive intelligence and efficiency improvement in the industrial field. Then, two cases from an aviation maintenance company and a crystal oscillator manufacturing company are used in this paper to validate the proposed method. Finally, the future development trends of LLMs in the industrial sector are discussed.

National Earthquake Response Support Service (CN), China Industrial Control Systems Cyber Emergency Response Team, China United Network Communications Group (China) (CN)
Openalex Percentile: Top 30%
Natural Language Processing Techniques
0.35
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The Application Framework of the Generative Large Language Model in the Industrial Field — L. Yang, Guangmin Song, et al. · (2024) | TGRS Research Map | TGRS