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Computer Science > Machine Learning

arXiv:2312.14428 (cs)
[Submitted on 22 Dec 2023 (v1), last revised 24 Jul 2024 (this version, v3)]

Title:A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing

Authors:Jay Lee, Hanqi Su
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Abstract:The recent emergence of large language models (LLMs) demonstrates the potential for artificial general intelligence, revealing new opportunities in Industry 4.0 and smart manufacturing. However, a notable gap exists in applying these LLMs in industry, primarily due to their training on general knowledge rather than domain-specific knowledge. Such specialized domain knowledge is vital for effectively addressing the complex needs of industrial applications. To bridge this gap, this paper proposes a unified industrial large knowledge model (ILKM) framework, emphasizing its potential to revolutionize future industries. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, the "6S Principle" is proposed as the guideline for ILKM development, and several potential opportunities are highlighted for ILKM deployment in Industry 4.0 and smart manufacturing.
Comments: The paper submitted to the International Journal of AI for Materials and Design (IJAMD) has been accepted and is now available online
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
Cite as: arXiv:2312.14428 [cs.LG]
  (or arXiv:2312.14428v3 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2312.14428
Related DOI: https://doi.org/10.36922/ijamd.3681

Submission history

From: Hanqi Su [view email]
[v1] Fri, 22 Dec 2023 04:30:27 UTC (1,305 KB)
[v2] Wed, 15 May 2024 04:00:16 UTC (1,313 KB)
[v3] Wed, 24 Jul 2024 18:17:10 UTC (2,302 KB)
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