A Unified Industrial Large Knowledge Model Framework in Smart
  Manufacturing
Jay Lee Hanqi Su
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.