ABU DHABI, United Arab of Emirates--(BUSINESS WIRE)--The Technology Innovation Institute (TII) in the United Arab Emirates (UAE) is pushing the boundaries of generative AI once again with the launch ...
Abu Dhabi's Technology Innovation Institute unveiled Falcon-H1 Arabic, a powerful new AI model excelling in Arabic language ...
Next-Gen Falcon 2 Series launches AI Model that is Open-Source, Multilingual, and Multimodal – and is only AI Model with Vision-to-Language Capabilities New Falcon 2 11B Outperforms Meta’s Llama 3 8B, ...
Instytut Innowacji Technologicznych (TII), jednostka zajmująca się badaniami stosowanymi przynależąca do Rady ds. Zaawansowanych Technologii (ATRC) w Abu Zabi, udostępnił Falcon-H1 Arabic, nowo ...
01.AI, the Chinese startup founded by veteran AI expert and investor Kai-Fu Lee, has released a 34-billion parameter large language model (LLM) that outperforms the 70-billion Llama 2 and 180 billion ...
Adaptive, a startup founded by the team that built the open source large language model Falcon and that then worked together at open source AI company Hugging Face, has emerged from stealth with $20 ...
Falcon-H1 Arabic is a new artificial intelligence system from Abu Dhabi that has outperformed larger models from Meta and ...
The Technology Innovation Institute (TII), the applied research arm of Abu Dhabi’s Advanced Technology Research Council (ATRC), has announced Falcon-H1 Arabic, a newly developed large language model ...
DUBAI, May 13 (Reuters) - A government research institute in the United Arab Emirates on Monday released a new open source GenAI model, which could rival the ones from big technology companies. Abu ...
Abu Dhabi’s Technology Innovation Institute (TII) has unveiled Falcon-H1 Arabic, a large language model that establishes ...
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Abu Dhabi’s TII launches Falcon-H1 Arabic, establishing the world’s leading Arabic AI model
Abu Dhabi’s TII Launches Falcon-H1 Arabic, Establishing the World’s Leading Arabic AI Model* Based on new hybrid-architecture, models deliver higher accuracy while running on smaller parameter sizes* ...
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