Transforming Medical Data Access: The Role and Challenges of Recent Language Models in SQL Query Automation
Generating accurate SQL queries from natural language is critical for enabling non-experts to interact with complex databases, particularly in high-stakes domains like healthcare. This paper presents an extensive evaluation of state-of-the-art large language models (LLM), including LLaMA 3.3, Mixtra...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-02-01
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| coleção: | Algorithms |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-4893/18/3/124 |
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