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体系化人工智能

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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、电、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.
Holistic Artificial Intelligence
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.

artificial intelligencebig loopatomizationnetwork nativesecure and trusty

冯俊兰

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中国移动研究院人工智能与智慧运营中心,北京100053

人工智能 大闭环 原子化 网络原生 安全可信

2024

北京邮电大学学报
北京邮电大学

北京邮电大学学报

CSTPCD北大核心
影响因子:0.592
ISSN:1007-5321
年,卷(期):2024.47(4)