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2023年生成式人工智能技术主要发展动向分析

Main Development Trends of Generative Artificial Intelligence Technology in 2023

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【作者】 王亚珅方勇江昊曾园园白然

【Author】 WANG Yashen;FANG Yong;JIANG Hao;ZENG Yuanyuan;BAI Ran;Key Laboratory of Cognition and Intelligence Technology (CIT),Artificial Intelligence Institute of CETC;Center for Information Research,Academy of Military Sciences;School of Electronic Information,Wuhan University;National Engineering Laboratory for Risk Perception and Prevention (RPP),China Academy of Electronics and Information Technology;

【通讯作者】 白然;

【机构】 中国电科智能科技研究院中国电科认知与智能技术重点实验室中国人民解放军军事科学院军事科学信息研究中心武汉大学电子信息学院中国电子科技集团有限公司电子科学研究院社会安全风险感知与防控大数据应用国家工程研究中心

【摘要】 生成式人工智能已经成为人工智能的最前沿技术之一,被认为是通往通用人工智能的重要阶梯。对2023年生成式人工智能的主要发展动向进行了综合评述。首先盘点生成式人工智能技术当前发展状态;其次概述生成式人工智能技术未来发展趋势;最后探讨生成式人工智能的军事应用潜力。综述表明,多模态性和可解释性是当前生成式人工智能技术的热门方向,生成式人工智能技术的应用使强调指令理解推理的机器人、强调归纳推理的基础科学等领域不断取得突破,面向终端用户的“轻量化”和面向开发者的“开源化”势头正盛,与此同时,对生成式人工智能技术应用的监管也迫在眉睫。综述认为,深度融合多模态、建设高质量数据资源及评估手段、强调与环境自主交互、在边缘侧低成本应用部署、平衡技术发展与规制治理等,将是生成式人工智能技术在未来的重要发展方向。

【Abstract】 Generative Artificial Intelligence(GAI) has become one of the cutting-edge technologies in Artificial Intelligence(AI), and is considered as an important step towards Artificial General Intelligence(AGI). This paper makes a comprehensive survey of the main development trends in the field of GAI. Firstly,the development trends of GAI are reviewed; Secondly, its further development directions are summarized;Finally, the potential military applications of GAI are explored. This survey shows that multimodality and interpretability are currently the key directions of GAI; GAI is now accelerating the breakthroughs in domains of robots that emphasize instruction comprehension and reasoning, as well as basic science that emphasizes inductive reasoning; lightweight GAI for end-users and open-source GAI for developers have become popular trends; and the supervision of the application of GAI is also urgent. This survey believes that deep integration of multimodality, construction of high-quality data resources and evaluation methods, autonomous interaction with the environment, low-cost application deployment at the edge, and balancing technological development with regulatory governance, will be important directions for the future development of GAI.

【基金】 国家自然科学基金(62106243,U19B2026)
  • 【文献出处】 无人系统技术 ,Unmanned Systems Technology , 编辑部邮箱 ,2024年02期
  • 【分类号】TP18
  • 【下载频次】352
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