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...

全面介绍

书目详细资料

Principais autores:	Patricio Santiago Garcia-Montero, Paulina Vizcaino, Ivan Galo Reyes-Chacon, Manuel Eugenio Morocho-Cayamcela
格式:	Artigo
语言:	Inglês
出版:	IEEE 2025-01-01
丛编:	IEEE Access
主题:	Large language models (LLM) generative AI fine tuning RAG Ecuadorian law legal
在线阅读:	https://ieeexplore.ieee.org/document/11205497/
标签:	添加标签 没有标签, 成为第一个标记此记录!