大模型驱动下的产业应用生态：内涵、演进与挑战

Industrial Application Ecology Driven by Large Models: Connotation, Evolution and Challenges

摘要: 随着深度学习技术的快速发展，大模型已成为人工智能领域的研究热点和产业应用的核心驱动力。本文旨在全面解析大模型在产业应用中的生态体系，从其定义、发展历程、技术原理、产业环节、政策环境、企业动态、创新生态、风险挑战到未来趋势进行深入的学术探讨。通过本文的研究，我们希望能够为相关决策者、研究者和企业提供全面、深入地了解和参考，推动大模型技术和产业的健康、可持续发展。

Abstract: With the rapid development of deep learning technology, large-scale models have become a research hotspot in the field of artificial intelligence and a core driving force for industrial applications. The purpose of this paper is to comprehensively analyze the ecosystem of large-scale models in industrial applications, and conduct in-depth academic discussions from its definition, development history, technical principles, industry chain structure, policy environment, enterprise dynamics, innovation ecology, risk challenges to future trends. Through the research in this paper, we hope to provide a comprehensive and in-depth understanding and reference for relevant policymakers, researchers and enterprises, and to promote the healthy and sustainable development of big model technology and industry.