The paper introduces Juhaina, a 9.24B parameter Arabic-English bilingual LLM trained with an 8,192 token context window. It identifies limitations in the Open Arabic LLM Leaderboard (OALL) and proposes a new benchmark, CamelEval, for more comprehensive evaluation. Juhaina outperforms models like Llama and Gemma in generating helpful Arabic responses and understanding cultural nuances. Why it matters: This culturally-aligned LLM and associated benchmark could significantly advance Arabic NLP and democratize AI access for Arabic speakers.
Ahmad Alabdulghani, a KAUST master's student in Energy Resources and Petroleum Engineering, is studying fluid flow mechanisms in heterogeneous media under the supervision of Professor Hussein Hoteit. Alabdulghani is a member of the Advanced Reservoir Modeling and Simulation (ARMS) research group at ANPERC. He previously worked at Saudi Aramco's EXPEC Advanced Research Center and aims to pursue a doctorate at KAUST. Why it matters: This highlights KAUST's role in developing Saudi talent for the energy sector and fostering collaboration between academia and industry.
A KAUST article highlights the role of supercomputers like Shaheen in enhancing industrial competitiveness. Jean Tachiji, Cray Manager in the Middle East, Steven Scott, Cray CTO, and Saber Feki from KAUST Supercomputing Core Laboratory are featured in front of Shaheen. Why it matters: This underscores the strategic importance of high-performance computing for research and development in the region.
Saudi Arabian AI infrastructure company HUMAIN has secured up to $1.2 billion in funding. The funds will be used to deploy AI infrastructure to support the Kingdom’s Vision 2030 plan. HUMAIN aims to accelerate AI adoption in Saudi Arabia. Why it matters: This represents a significant investment in domestic AI capabilities, signaling Saudi Arabia's commitment to becoming a major player in the AI landscape.
Todd Nims, a filmmaker born in Saudi Arabia, premiered his film "Joud" at KAUST's 2018 Winter Enrichment Program. The film, set in Saudi Arabia, explores the cycle of life in reverse and the meaning of "Joud" (generosity in the face of scarcity). Nims describes Saudi Arabia as a "magical place" due to its rich storytelling tradition. Why it matters: The article highlights KAUST's role in showcasing cultural works and supporting Saudi artists, though the AI relevance is limited.
This paper presents a UI-level evaluation of ALLaM-34B, an Arabic-centric LLM developed by SDAIA and deployed in the HUMAIN Chat service. The evaluation used a prompt pack spanning various Arabic dialects, code-switching, reasoning, and safety, with outputs scored by frontier LLM judges. Results indicate strong performance in generation, code-switching, MSA handling, reasoning, and improved dialect fidelity, positioning ALLaM-34B as a robust Arabic LLM suitable for real-world use.
Students and teachers from Thuwal schools visited KAUST for computer-oriented activities on February 7. The activities included a practical computer coding lesson inspired by "Hour of Code," where participants used Mac computers to work through an online tutorial. Students and teachers also toured the supercomputing facilities in the KAUST Core Labs led by Bilel Hadri of the ECRC. Why it matters: Such outreach programs help promote STEM education and engagement with advanced computing resources among local students.