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NileChat is a project by UBC NLP that develops a 3B-parameter language model adapted to Egyptian and Moroccan communities, aiming to reflect their language, cultural heritage, and values. It introduces a methodology to create synthetic and retrieval-based pre-training data tailored to a community’s language, culture, and values, demonstrated on Egyptian and Moroccan dialects. NileChat reportedly outperforms existing Arabic-aware LLMs of similar size and performs on par with larger models, and the project shares its methods, data, and models to promote inclusion of diverse communities in LLM development.
AI named NileChat in November 2025.