AIN: The Arabic INclusive Large Multimodal Model Ahmed Heakl Sara Ghaboura Omkar Thawakar Fahad Shahbaz Khan Hisham Cholakkal Rao M. Anwer Salman Khan Equal Contribution Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE Abstract Amid the swift progress of large language models (LLMs) and their evolution into large multimodal models (LMMs), significant strides have been made in high resource languages such as English and Chinese. While Arabic LLMs have seen notable progress, Arabic LMMs remain largely unexplored, often narrowly focusing on a few specific aspects of the language and visual understanding. To bridge this gap, we introduce AIN the Arabic Inclusive Multimodal Model designed to excel across diverse domains. AIN is an English Arabic bilingual LMM designed to excel in English and Arabic, leveraging carefully constructed 3.6 million high quality Arabic English multimodal data samples. AIN demonstrates state of the art Arabic performance, while also possessing strong English language visual capabilities. 🌟 Key Features The first Arabic centric inclusive Large Multimodal Model (LMM) trained on 3.6M samples . Includ…
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