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Hamad Bin Khalifa University
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State-of-the-art Vision-Language Models may excel in understanding but falter dramatically in creative tasks and factual recall, revealing hidden cognitive weaknesses.
Resource-constrained Arabic AI development can compete with systems built at far greater scale, as demonstrated by Fanar 2.0's performance gains using 8x fewer pre-training tokens than its predecessor.