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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Patricio Santiago Garcia-Montero, Paulina Vizcaino, Ivan Galo Reyes-Chacon, Manuel Eugenio Morocho-Cayamcela
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2025-01-01
Σειρά:	IEEE Access
Θέματα:	Large language models (LLM) generative AI fine tuning RAG Ecuadorian law legal
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/11205497/
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!