大模型赋能制造全链条，提升设计、质检、供应链效率。
Large Language Models for Manufacturing
- 用GPT-4V等大模型自动化产品设计与流程优化
- 在多任务评估中展现理解复杂指令与提取数据洞察的能力
- 适合制造业从业者、研究者及数字化转型决策者参考
大型语言模型（LLMs）的快速发展为制造业带来变革机遇，可优化生产流程、提升效率并推动创新。本文系统探讨了将LLMs融入制造领域的潜力，涵盖产品设计开发、质量控制、供应链优化及人才管理等多个环节。通过在多个制造任务上的广泛评估，我们展示了GPT-4V等先进模型在理解复杂指令、从海量数据中提取关键信息以及促进知识共享方面的卓越能力。此外，论文深入分析了LLMs在重塑制造教育、自动化代码生成、增强机器人控制系统以及通过工业元宇宙构建数据丰富的沉浸式虚拟环境等方面的变革性作用。本文旨在为从业者、研究人员和决策者提供实用资源，助力应对现实挑战，实现运营卓越与可持续增长。
原文摘要 · Abstract (English)
The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and drive innovation. This paper provides a comprehensive exploration of the integration of LLMs into the manufacturing domain, focusing on their potential to automate and enhance various aspects of manufacturing, from product design and development to quality control, supply chain optimization, and talent management. Through extensive evaluations across multiple manufacturing tasks, we demonstrate the remarkable capabilities of state-of-the-art LLMs, such as GPT-4V, in understanding and executing complex instructions, extracting valuable insights from vast amounts of data, and facilitating knowledge sharing. We also delve into the transformative potential of LLMs in reshaping manufacturing education, automating coding processes, enhancing robot control systems, and enabling the creation of immersive, data-rich virtual environments through the industrial metaverse. By highlighting the practical applications and emerging use cases of LLMs in manufacturing, this paper aims to provide a valuable resource for professionals, researchers, and decision-makers seeking to harness the power of these technologies to address real-world challenges, drive operational excellence, and unlock sustainable growth in an increasingly competitive landscape.
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