剖析各国大模型发展策略与监管路径，为国家级AI投资提供决策参考

Sovereign Large Language Models: Advantages, Strategy and Regulations

• 系统梳理全球大模型发展中的政策与技术趋势
• 评估国家层面投入大模型的可行性与风险
• 适合关注AI战略规划与公共政策的研究者

本报告分析了全球范围内大型语言模型（LLMs）发展所面临的关键趋势、挑战、风险与机遇。通过考察各国在开发大模型方面的实践经验，评估了该领域的投资可行性。此外，报告还探讨了在国家层面上实施、监管和资助人工智能项目的策略，为政策制定者提供决策支持。

原文摘要 · Abstract (English)

This report analyzes key trends, challenges, risks, and opportunities associated with the development of Large Language Models (LLMs) globally. It examines national experiences in developing LLMs and assesses the feasibility of investment in this sector. Additionally, the report explores strategies for implementing, regulating, and financing AI projects at the state level.

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。