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, the "6S Principle" is proposed as the guideline for ILKM development, and several potential opportunities are highlighted for ILKM deployment in smart manufacturing.

翻译：近期兴起的大型语言模型（LLMs）展现出实现通用人工智能的潜力，为工业4.0和智能制造带来了新机遇。然而，这些LLMs在工业应用中存在显著差距，主要源于其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处理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型知识模型（ILKM）框架，强调其在智能制造领域推动产业变革的潜力。此外，我们从八个维度对ILKMs与LLMs进行了比较。最后，提出了"6S原则"作为ILKM开发的指导方针，并展望了ILKM在智能制造部署中的若干潜在机遇。