MBZUAI and Core42 have launched Jais Climate, the first bilingual (Arabic/English) LLM dedicated to climate and sustainability. It is fine-tuned with 1.4 million climate-related instructions and trained on the ClimaInstruct dataset. Jais Climate is built on Jais 13B and incorporates technology from Vicuna, an open-source LLM. Why it matters: This model provides accessible climate data to a wide audience, including decision-makers and the general public, and highlights the UAE's focus on using AI for sustainability.
MBZUAI has released Jais and Jais-chat, two new open generative large language models (LLMs) with a focus on Arabic. The 13 billion parameter models are based on the GPT-3 architecture and pretrained on Arabic, English, and code. Evaluation shows state-of-the-art Arabic knowledge and reasoning, with competitive English performance.
G42's Core42 has released Jais, a new Arabic large language model. Jais includes 13 billion parameters and was trained on a dataset of 126B tokens, including 43B Arabic tokens. According to the developers, Jais achieves state-of-the-art results on Arabic benchmarks and competitive performance on English benchmarks. Why it matters: Jais represents a significant step forward for Arabic NLP, providing a powerful new tool for researchers and developers in the region.
G42's Inception has open-sourced Jais, a 13-billion parameter Arabic large language model (LLM). Jais was trained on a 395-billion-token Arabic and English dataset and outperforms existing Arabic models. The model is a collaboration between Inception, MBZUAI, and Cerebras Systems, and was trained on the Condor Galaxy supercomputer. Why it matters: This release establishes a new standard for Arabic language AI, providing over 400 million Arabic speakers access to generative AI and fostering innovation in the region.
G42's Core42 has released Jais, a collection of Arabic large language models, including a 13B parameter version. Jais-13B is trained on a 395B token dataset containing Arabic and English text. According to the blog post, Jais-13B achieves state-of-the-art results on Arabic NLP benchmarks. Why it matters: This release establishes a new benchmark for Arabic language AI, potentially enabling more sophisticated and culturally relevant applications.
Malaria No More, the Crown Prince Court of Abu Dhabi, and the Reaching the Last Mile program launched the Institute for Malaria and Climate Solutions (IMACS) to combat malaria amidst climate change. Mohamed Bin Zayed University for Artificial Intelligence (MBZUAI) joined as a technical partner, providing research support leveraging AI and data science. The initiative aims to develop and implement AI-driven strategies to address the impact of climate change on malaria transmission. Why it matters: This partnership highlights the UAE's commitment to using AI for global health challenges, particularly in combating climate-sensitive diseases like malaria.