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...

Полное описание

Библиографические подробности

Главные авторы:	Patricio Santiago Garcia-Montero, Paulina Vizcaino, Ivan Galo Reyes-Chacon, Manuel Eugenio Morocho-Cayamcela
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2025-01-01
Серии:	IEEE Access
Предметы:	Large language models (LLM) generative AI fine tuning RAG Ecuadorian law legal
Online-ссылка:	https://ieeexplore.ieee.org/document/11205497/
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!