温馨,张超,郭锐,陈凯华,冯泽,朱其罡.推动我国大模型开源创新生态建设的挑战与建议[J].中国科学院院刊,2024,39(8):1313-1326.

推动我国大模型开源创新生态建设的挑战与建议

Challenges and recommendations for building open source innovation ecosystem for large-models in China

温馨¹
中国科学院科技战略咨询研究院 北京 100190
WEN Xin¹
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
张超^2*
上海交通大学 国家战略研究院 上海 200052
ZHANG Chao^2*
Institute of Strategic Studies, Shanghai Jiao Tong University, Shanghai 200052, China
郭锐³
中国科学院大学 公共政策与管理学院 北京 100049
GUO Rui³
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
陈凯华³
中国科学院大学 公共政策与管理学院 北京 100049
CHEN Kaihua³
School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
冯泽¹
中国科学院科技战略咨询研究院 北京 100190
FENG Ze¹
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
朱其罡^4,5
上海开源信息技术协会 上海 201620;对外经济贸易大学 全球开源协作研究中心 北京 100029
ZHU Qigang^4,5
Shanghai Open Source Information Technology Association, Shanghai 201620, China;Institute of Global Open Source Collaboration, University of International Business and Economics, Beijing 100029, China

         大模型发展;开源创新生态;对策建议

        large-scale model development;open-source innovation ecosystem;policy recommendations

        解决当前制约我国大模型产业发展的科技创新问题，推动我国大模型产业持续繁荣发展和国际竞争力提升，需要构建大模型开源创新生态。文章分析了开源创新生态对我国大模型发展的重要意义，在回顾开源创新生态构建国际经验的基础上，进一步剖析了我国大模型开源创新生态构建面临的问题和挑战，并提出针对性建议。文章发现，我国大模型开源创新生态面临技术能力制约生态形成、数据算力明显限制技术发展、创新主体无序竞争制约整体发展速度、开源支持体系建设水平较低、系统协同政策架构设计缺失等问题，阻碍了大模型快速发展和竞争力提升。文章提出需加强顶层设计统筹协同发展、打造共享的大模型研发基础体系、强化全产业链开源开放体系建设、完善大模型开源创新体系治理等对策建议。

        Addressing the current technological development issues that constrain the development of China’s large-scale model industry is needed to promote the continuous prosperity and development of the industry and enhance its international competitiveness. The study analyzes the significance of the open-source innovation ecosystem for the development of large-scale models in China. Based on reviewing the international experience of constructing the open-source innovation ecosystem, it further dissects the problems and challenges faced by the construction of the open-source innovation ecosystem for large-scale models in China and puts forward targeted suggestions. The study finds that the open-source innovation ecosystem for large-scale models in China is faced with problems such as the restriction of ecological formation by technical capabilities, the significant limitation of technological development by data computing power, the disorderly competition among innovation subjects restricting the overall development speed, the low level of construction of the open-source support system, and the lack of the design of the system collaborative policy architecture, which hinder its rapid development and the improvement of competitiveness. There is a need to strengthen the top-level design and coordinated development, to build a shared basic system for large-scale model research and development, to enhance the construction of opensource and open systems throughout the entire industry chain, and to improve the governance of the open-source innovation system for large-scale models.