Abu dhabi: Inception (a G42 company), Cerebras Systems, and the Institute of Foundation Models at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) today announced Jais 2, the world’s leading open-weight Arabic Large Language Model (LLM). Built from the ground up with 70 billion parameters and trained on the richest Arabic-first dataset to date, the latest generation of Jais 2 will be available for download on Inception’s HuggingFace and the web application.
According to Emirates News Agency, powered by a redesigned architecture and cleaner training data, Jais 2 delivers stronger reasoning, greater fluency across Modern Standard Arabic (MSA) and regional dialects, and strong performance in English. It is engineered to navigate real-world linguistic behavior, including code-switching and informal tone, while maintaining advanced technical and creative capabilities.
Jais 2 also integrates a comprehensive safety-first framework supported by instruction-tuning, evaluation, and continuous user feedback, ensuring the model remains reliable and adaptive over time. It has proven adept across wide-ranging content covering Arabic poetry, culture, and social-media tone of voice. The result is a model that captures Arabic as a language, the way it is used every day across conversations, culture, and modern expression.
Ashish Koshy, CEO of Inception, stated that the use of Arabic within AI has historically been constrained by limited datasets and fragmented representation. Jais 2 addresses these limitations by bringing unprecedented depth, nuance, and contextual intelligence to the language. From dialect to tone, the model understands Arabic as it is spoken, written, and lived. Koshy expressed pride in delivering a system that will accelerate innovation for millions across the region and beyond.
Natalia Vassilieva, VP and Field CTO of Cerebras Systems, commented on the UAE’s growing leadership in building advanced, open-weight AI systems, noting that Jais 2 was both trained and is now served on Cerebras systems. She highlighted the collaboration with UAE partners to achieve state-of-the-art quality using only a fraction of the compute typically required for similar-sized models. Vassilieva emphasized the remarkable momentum in the UAE and the commitment to empowering this ecosystem with efficient compute and deep collaboration.
Professor Preslav Nakov, Department Chair and Professor of Natural Language Processing at MBZUAI, remarked on the historical underservice of Arabic in AI development due to limited high-quality data. He highlighted Jais as a defining advancement for Arabic AI, built with cultural and linguistic fidelity at its core. By dramatically expanding the quality and diversity of Arabic data, the project has created a foundation reflecting the richness of the Arabic language, demonstrating how AI can evolve through cultural alignment, safety-centered design, and open innovation.