北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2024, Vol. 47 ›› Issue (4): 1-10.

• 体系化人工智能专题 •    下一篇

体系化人工智能

冯俊兰   

  1. 中国移动研究院
  • 收稿日期:2023-12-31 修回日期:2024-03-25 出版日期:2024-08-28 发布日期:2024-08-26
  • 通讯作者: 冯俊兰 E-mail:fengjunlan@chinamobile.com

Holistic Artificial Intelligence

FENG Junlan   

  • Received:2023-12-31 Revised:2024-03-25 Online:2024-08-28 Published:2024-08-26

摘要: 随着以基础模型为代表的人工智能(AI)技术取得举世瞩目的成绩,机器智能的总体水平已达到前所未有的高度基础模型算力及网络数据逐渐成为 AI 领域的重要基础设施为了实现依托上述基础设施提供泛在安全的社会级智能服务,让其像水通信服务一样无处不在且边际成本趋向为零的目标,从技术体系的角度,提出并阐述了体系化 AI (HAI)技术框架该框架中,用户的智能化需求可以用自然语言图形图片组件编排等方式灵活表达依托基础大模型,HAI 对用户需求进行理解并形成最优执行计划,执行计划包括完成业务需求所需的模型工具数据及算力网络资源;继而 HAI 将模型和能力部署到相应的算力网络资源上,通过灵活调度及联合优化满足用户需求所提框架涉及到的核心技术包括 AI 服务大闭环优化AI 能力原子化网络原生的建模技术以及安全可信 AI 服务技术

关键词: 人工智能 , 大闭环 , 原子化 , 网络原生, 安全可信

Abstract: Artificial intelligence ( AI ) technology represented by foundation models has achieved remarkable results, raising the overall level of machine intelligence to an unprecedented height. Foundation models, computing power, networks, and data are gradually becoming important fundamental infrastructure in the field of artificial intelligence. In order to rely on the above infrastructure to provide ubiquitous and secure social-level intelligent services, and make them as ubiquitous as water, electricity, and 5G services, with the almost zero marginal costs, the holistic artificial intelligence (HAI) technology framework is proposed and elaborated. In this framework, intelligence needs can be flexibly expressed through natural language, graphics, images, component arrangement, and other methods. Based foundational big model, HAI understands the user’s needs and forms an execution plan which includes the models, capabilities, data, and computing network resources needed to complete the tasks. HAI then deploys models and capabilities to corresponding computing network resources, flexibly schedules and jointly optimizes to meet the requirements of business. The proposed framework utilizes core technologies including big loop AI for artificial intelligence services, atomized AI capabilities, network native AI, and secure and trusty AI services.

Key words: artificial intelligence, big loop, atomization, network native, secure and trusty

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