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.
Authors
- L. Yang (ORCID: https://orcid.org/0009-0009-2679-6303)
- Guangmin Song (ORCID: https://orcid.org/0009-0006-7056-7944)
- Junmei Feng (ORCID: https://orcid.org/0000-0003-1804-3749)
- Kang Zeng
- Xianna Yang
- Zeng Ge (ORCID: https://orcid.org/0009-0007-8793-3776)
Institutions
- National Earthquake Response Support Service (CN)
- China Industrial Control Systems Cyber Emergency Response Team
- China United Network Communications Group (China) (CN)
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