MBZUAI releases BiMediX2, a bilingual (Arabic-English) Bio-Medical Large Multimodal Model, along with the BiMed-V dataset (1.6M samples) and BiMed-MBench evaluation benchmark. BiMediX2 supports multi-turn conversation in Arabic and English and handles diverse medical imaging modalities. The model achieves state-of-the-art results on medical LLM and LMM benchmarks, outperforming existing methods and GPT-4 in specific evaluations.
MBZUAI researchers introduce BiMediX, a bilingual (English and Arabic) mixture of experts LLM for medical applications. The model is trained on BiMed1.3M, a new 1.3 million bilingual instruction dataset and outperforms existing models like Med42 and Jais-30B on medical benchmarks. Code and models are available on Github.
MBZUAI's BiMediX2, a bilingual healthcare multi-modal model, won Meta's Llama Impact Innovation Award for its potential in solving healthcare accessibility challenges across the Middle East and Africa. Built using Llama 3.1, the model understands medical queries in both English and Arabic, interprets medical images, and is integrated as a chatbot on Telegram with speech functionality. The model was also presented at the AI for Sustainable Development Platform Launch Event and integrated into the UNDP for telemedicine. Why it matters: The model's bilingual capabilities and accessibility on low-cost devices and speech-based interaction have potential to improve healthcare access for marginalized populations in the region.
This article discusses MBZUAI's efforts in advancing Arabic language AI, including the development of advanced linguistic models using deep learning techniques. Key initiatives include Jais, a 13B parameter Arabic LLM developed in collaboration with G42's Inception, and Atlas-Chat, which understands the Moroccan dialect. The university is also incorporating Arabic in practical AI solutions like BiMediX2, a healthcare multi-modal model that understands medical queries in both English and Arabic. Why it matters: These initiatives are crucial for preserving Arabic cultural heritage, enabling future discovery, and addressing linguistic challenges specific to the Arabic language in AI applications.
MBZUAI's Institute of Foundation Models (IFM) has launched five new specialized language and multimodal models, including BiMediX, PALO, GLaMM, GeoChat, and MobiLLaMA. These models address real-world applications in healthcare, visual reasoning, multilingual capabilities, geospatial analysis, and mobile device efficiency. BiMediX is a bilingual medical LLM, while GLaMM generates natural language responses related to objects in an image at the pixel level. Why it matters: This launch demonstrates MBZUAI's commitment to advancing AI research and developing practical AI solutions for various industries, especially with a focus on Arabic language capabilities.
MBZUAI will participate as an official partner at Machines Can See 2025 (MCS 2025) during Dubai AI Week, showcasing AI innovation with expert speakers and live demos. MBZUAI will present BiMediX2, a multimodal virtual assistant that answers medical questions in Arabic and English and won Meta’s Llama Impact Innovation Award. They will also demonstrate Voodoo XP, a one-shot face re-enactment tool, and LAIKA, an AI-powered robot dog. Why it matters: This event highlights MBZUAI's contributions to AI and robotics, strengthening the UAE's position as a leader in science and technology, especially in healthcare and advanced robotics.