The recent emergence of large language models (LLMs) shows 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 an Industrial Large Knowledge Model (ILKM) framework emphasizing their potential to revolutionize the industry in smart manufacturing. In addition, ILKMs and LLMs are compared from eight perspectives. Finally, "6S Principle" is proposed as the guideline for the development of ILKMs in smart manufacturing.

翻译：近期大语言模型（LLMs）的涌现展现出通用人工智能的潜力，为工业4.0和智能制造带来了新的机遇。然而，将这些LLMs应用于工业领域仍存在显著差距，主要原因是它们基于通用知识而非领域特定知识进行训练。这类专业化领域知识对于有效应对工业应用的复杂需求至关重要。为弥合这一差距，本文提出了一种工业大知识模型（ILKM）框架，强调其在智能制造领域推动行业革新的潜力。此外，本文从八个维度对ILKMs与LLMs进行了对比分析。最后，提出了"6S原则"作为智能制造领域ILKMs发展的指导方针。