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大模型融入云平台,信息化走向数智化

Integration of large-scale models and cloud, transition from informatization to digital intelligence

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【作者】 邬贺铨

【Author】 WU Hequan;Chinese Academy of Engineering;

【通讯作者】 邬贺铨;

【机构】 中国工程院

【摘要】 随着人工智能的快速发展,大模型已逐渐发挥其关键作用,成为驱动企业数字化转型的重要力量。主要探寻了大模型崛起引发的众多变革,回溯了人工智能的发展轨迹,分析了自建基础大模型所面临的挑战,强调引入基础大模型提供方需要与垂直行业企业联手,合作开发行业大模型。针对中小型企业在开发行业大模型时所面临的困扰,提出“模型即服务”及其相关工具链可以通过协助微调形成专有企业模型的观点;探讨了大模型兴起对云服务产生的变革;对云网协同、算网融合以及人工智能加速数智化发展进行了深入分析。在数字经济时代的背景下,进一步分析了人工智能如何赋能新一代信息技术创新。目前正处于国际经济发展调整期、信息化向数字化的演进期及网络技术创新的加速期,大宽带、大连接、大数据、大平台、大模型、大智能正在快速地融合发展。

【Abstract】 As artificial intelligence rapidly develops, large-scale models are increasingly playing a pivotal role, becoming a crucial driving force for the digital transformation of enterprises. This article primarily explores the numerous changes sparked by the rise of large-scale models, retraces the development trajectory of artificial intelligence, and analyzes the challenges faced when building basic large-scale models. Following this, it introduces the necessity for the providers of basic large-scale models to collaborate with enterprises in vertical industries to jointly develop industry-specific large-scale models. For small and medium-sized enterprises grappling with difficulties in developing industry-specific large-scale models, the concept of “Model-as-a-Service” and its related toolchain are proposed to aid them in fine-tuning proprietary enterprise models. The discussion then explores the transformation of cloud services brought about by the rise of large-scale models. Subsequently, it delves into cloud-net collaboration, the merger of calculating and networking, and the acceleration of digital development through artificial intelligence. Against the backdrop of the digital economy era, the article further analyzes how artificial intelligence empowers the innovation of next-generation information technology. Ultimately, it points out that we are currently in a period of international economic development adjustment, the transition from informatization to digitalization, and the acceleration of network technology innovation. Greater bandwidth, greater connectivity, big data, large platforms, large-scale models, and greater intelligence are rapidly merging and developing.

  • 【文献出处】 重庆邮电大学学报(自然科学版) ,Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition) , 编辑部邮箱 ,2024年01期
  • 【分类号】TP393.09;TP18
  • 【下载频次】287
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