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The Landscape of Arabic Large Language Models (ALLMs): A New Era for Arabic Language Technology

arXiv ·

This article surveys the landscape of Arabic Large Language Models (ALLMs), tracing their evolution from early text processing systems to sophisticated AI models. It highlights the unique challenges and opportunities in developing ALLMs for the 422 million Arabic speakers across 27 countries. The paper also examines the evaluation of ALLMs through benchmarks and public leaderboards. Why it matters: ALLMs can bridge technological gaps and empower Arabic-speaking communities by catering to their specific linguistic and cultural needs.

FALQs: AI Regulations in the Gulf Cooperation Council Member States – Part Two - Library of Congress (.gov)

Oman AI ·

The Library of Congress has published Part Two of its FALQs series, providing an analysis of AI regulations across the Gulf Cooperation Council (GCC) member states. This installment details the various regulatory frameworks, data governance policies, and ethical guidelines being developed and implemented in countries such as the UAE, Saudi Arabia, and Qatar. It offers an overview of how GCC nations are approaching the legal and ethical challenges associated with artificial intelligence. Why it matters: This comprehensive overview is crucial for understanding the evolving landscape of AI governance in the Middle East and its implications for technological development and adoption in the region.