Legal AI for All: Reducing Perplexity and Boosting Accuracy in Normative Texts With Fine-Tuned LLMs and RAG
This study investigates the potential of open-source Large Language Models (LLMs) to enhance the accessibility and understanding of complex legal information. Legal texts often present linguistic and structural barriers for non-experts, highlighting the need for tools that can support natural langua...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| Colecção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11205497/ |
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