A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing
This addresses the problem of domain-specific knowledge integration for Industry 4.0 and smart manufacturing, but it is incremental as it builds on existing LLM concepts.
The paper tackles the gap in applying large language models to industrial settings by proposing a unified industrial large knowledge model framework, comparing it with LLMs from eight perspectives and introducing the '6S Principle' as a development guideline.
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.