Industrial‐generative pre‐trained transformer for intelligent manufacturing systems

Abstract

Manufacturing enterprises are facing how to utilise industrial knowledge and continuously accumulating massive unlabelled data to achieve human-cyber-physical collaborative and autonomous intelligence. Recently, artificial intelligence-generative content has achieved great performance in several domains and scenarios. A new concept of industrial generative pre-trained Transformer (Industrial-GPT) for intelligent manufacturing systems is introduced to solve various scenario tasks. It refers to pre-training with industrial datasets, fine-tuning with industrial scenarios, and reinforcement learning with domain knowledge. To enable Industrial-GPT to better empower the manufacturing industry, Model as a Service is introduced to cloud computing as a new service mode, which provides a more efficient and flexible service approach by directly invoking the general model of the upper layer and customising it for specific businesses. Then, the operation mechanism of the Industrial-GPT driven intelligent manufacturing system is described. Finally, the challenges and prospects of applying the Industrial-GPT in the manufacturing industry are discussed.

Generative artificial intelligence in manufacturing: opportunities for actualizing Industry 5.0 sustainability goals

“…While generative AI has made significant strides in other business sectors (Prasad Agrawal, 2023), its potential within manufacturing remains relatively unexplored, at least within academia. The transformative capabilities of generative AI lie in its ability to generate content, ideas and solutions autonomously, providing a dynamic and adaptive framework that can be tailored to the unique challenges of manufacturing processes (Budhwar et al ., 2023; Wang et al ., 2023). Drawing on such valuable capabilities, it is logical to assume that generative AI may be valuable to the sustainable manufacturing industry of the future promised under the Industry 5.0 framework.…”