本文对生成式AI(Generative artificial intelligence,GenAI)的国内外发展现状进行了概述,重点分析了中美之间在算力、数据、算法、生态等方面存在的差距.为改变我国在生成式AI领域的落后现状,提出高能效算力建设、联邦数据、专业领域模型、基于TAO的联邦生态等应对策略,对大模型时代AI安全治理进行了论述,对通用人工智能(Artificial general intelligence,AGI)的未来发展进行了展望.
Abstract
This article provides an overview of the current development status of generative artificial intelligence(GenAI)both in China and abroad,focusing on the analysis of the gap between China and the United States in terms of computing power,data,algorithms,and ecosystems.To change the backward situation of China in the field of generative AI,perspectives such as constructing high-energy-efficient computing,federated data,specialized domain models,and a federated ecosystem based on TAO are proposed.It also discusses AI security governance in the era of foundation intelligence and prospects for the future development of artificial general intelligence(AGI).
关键词
生成式人工智能/大语言模型/基础模型/通用人工智能/基础智能/平行智能/Sora
Key words
Generative artificial intelligence(GenAI)/large language model/foundation model/artificial general in-telligence(AGI)/foundation intelligence/parallel intelligence/Sora
维普
万方数据