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

Translated title of the contribution: From Foundation Intelligence to General Intelligence: The State-of-Art and Perspectives of GenAI and AGI Based on Foundation Models

Qing Hai Miao, Xing Xia Wang, Jing Yang, Yong Zhao, Yu Tong Wang, Yuan Yuan Chen, Yong Lin Tian, Yi Yu, Yi Lun Lin, Ran Yan, Jia Qi Ma, Xiao Xiang Na, Fei Yue Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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).

Translated title of the contributionFrom Foundation Intelligence to General Intelligence: The State-of-Art and Perspectives of GenAI and AGI Based on Foundation Models
Original languageChinese (Simplified)
Pages (from-to)674-687
Number of pages14
JournalZidonghua Xuebao/Acta Automatica Sinica
Volume50
Issue number4
DOIs
Publication statusPublished - Apr 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 Science Press. All rights reserved.

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Computer Graphics and Computer-Aided Design

Keywords

  • artificial general intelligence (AGI)
  • foundation intelligence
  • foundation model
  • Generative artificial intelligence (GenAI)
  • large language model
  • parallel intelligence
  • Sora

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