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从基础智能到通用智能:基于大模型的GenAI和AGI之现状与展望
缪青海; 王兴霞; 杨静; 赵勇; 王雨桐; 陈圆圆; 田永林; 俞怡; 林懿伦; 鄢然; 马嘉琪; 那晓翔; 王飞跃
Source Publication自动化学报
ISSN0254-4156
2024
Volume50Issue:4Pages:674-687
Abstract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.
Keyword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
DOI10.16383/j.aas.c240156
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56114
Collection学术期刊_自动化学报
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GB/T 7714
缪青海,王兴霞,杨静,等. 从基础智能到通用智能:基于大模型的GenAI和AGI之现状与展望[J]. 自动化学报,2024,50(4):674-687.
APA 缪青海.,王兴霞.,杨静.,赵勇.,王雨桐.,...&王飞跃.(2024).从基础智能到通用智能:基于大模型的GenAI和AGI之现状与展望.自动化学报,50(4),674-687.
MLA 缪青海,et al."从基础智能到通用智能:基于大模型的GenAI和AGI之现状与展望".自动化学报 50.4(2024):674-687.
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