Sovereign Large Language Models: Advantages, Strategy and Regulations
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915184742760448 |
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| author | Bondarenko, Mykhailo Lushnei, Sviatoslav Paniv, Yurii Molchanovsky, Oleksii Romanyshyn, Mariana Filipchuk, Yurii Kiulian, Artur |
| author_facet | Bondarenko, Mykhailo Lushnei, Sviatoslav Paniv, Yurii Molchanovsky, Oleksii Romanyshyn, Mariana Filipchuk, Yurii Kiulian, Artur |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_04745 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sovereign Large Language Models: Advantages, Strategy and Regulations Bondarenko, Mykhailo Lushnei, Sviatoslav Paniv, Yurii Molchanovsky, Oleksii Romanyshyn, Mariana Filipchuk, Yurii Kiulian, Artur Computers and Society Computation and Language 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. |
| title | Sovereign Large Language Models: Advantages, Strategy and Regulations |
| topic | Computers and Society Computation and Language |
| url | https://arxiv.org/abs/2503.04745 |