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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.
LLMs struggle to provide reliable answers to Islamic queries, but Fanar-Sadiq's multi-agent architecture, with specialized modules for scripture, jurisprudence, and calculations, delivers grounded and verifiable responses.
