Industrial large model: A survey
Jiehan Zhou, Yang Cao, Quanbo Lu, Yan Zhang, Cong Liu, Shouhua Zhang, Junsuo Qu · MATEC Web of Conferences · 2024
Industrial large models are attracting significant attention for their roles in improving industrial production efficiency and product quality. This paper categorises and reviews current research on industrial large models in three main areas: pre-training, fine-tuning, and Retrieval-Augmented Generation (RAG). It also introduces a generic platform for industrial large models, including a model for interaction between industrial large and small models. Furthermore, it specifies the application areas of large industrial models within product lifecycle management, and discusses the challenges encountered during their development.