Leveraging the Power of Large Language Models to Drive Progress in the Manufacturing Industry

Feng Shi, Yongjin Zhang, Chongxiao Qu, Changjun Fan (), Jinqi Chu, Lei Jin and Shuo Liu
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Feng Shi: Cethik Group Co., Ltd.
Yongjin Zhang: The 52Nd Research Institute of China Electronics Technology Group Corporation
Chongxiao Qu: The 52Nd Research Institute of China Electronics Technology Group Corporation
Changjun Fan: The 52Nd Research Institute of China Electronics Technology Group Corporation
Jinqi Chu: The 52Nd Research Institute of China Electronics Technology Group Corporation
Lei Jin: The 52Nd Research Institute of China Electronics Technology Group Corporation
Shuo Liu: The 52Nd Research Institute of China Electronics Technology Group Corporation

A chapter in Proceedings of the 9th International Conference on Financial Innovation and Economic Development (ICFIED 2024), 2024, pp 125-133 from Springer

Abstract: Abstract In this paper, we delve into the transformative role of large language models (LLMs) in the evolving digital economy, particularly within the manufacturing industry. We begin by demystifying the fundamental principles of LLMs, aiming to deepen the reader’s comprehension. Subsequently, we explore the main strategies for adapting LLMs and integrating them into manufacturing processes, scrutinizing both their benefits and limitations. Additionally, we assess the multifaceted impacts of LLMs on various phases of manufacturing. The paper culminates in a forward-looking analysis, highlighting four emergent trends that signify the growing influence of LLMs in revolutionizing the manufacturing industry.

Keywords: large language models; manufacturing industry; Transformer; ChatGPT (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-408-2_15

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DOI: 10.2991/978-94-6463-408-2_15

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