Exploring Arabic Large Language Models: A Comprehensive Review

Authors

Lamar Aljahdali, Effat UniversityFollow
Joud Kaki, Effat UniversityFollow

Abstract

This paper presents a comprehensive review of Arabic large language models (LLMs), exploring their capabilities, limitations, and potential impact on the Arabic NLP landscape. We analyze the performance of prominent LLMs, including JAIS, AraBERT, and BLOOM, highlighting their strengths and weaknesses on various NLP tasks. The review delves into critical challenges faced by Arabic LLMs, such as domain adaptation, cross-lingual capabilities, and ethical considerations. Additionally, the paper emphasizes the importance of responsible development and deployment practices for LLMs, ensuring fairness, transparency, and cultural sensitivity.

Recommended Citation

Aljahdali, Lamar and Kaki, Joud (2023) "Exploring Arabic Large Language Models: A Comprehensive Review," Effat Undergraduate Research Journal: Vol. 4: Iss. 1, Article 11.
Available at: https://digitalcommons.aaru.edu.jo/eurj/vol4/iss1/11