Unparalleled Dataset
Mulhem has been trained on an extensive and diverse dataset, comprising more than 70,000 Saudi-specific Q&A data points and over half a million Arabic single turn, multi-turn, preference data sets, along with specialized datasets for context retrieval and offline data systems. This rich dataset ensures that Mulhem offers unparalleled accuracy and relevance in its responses and insights, specifically tailored to the Saudi context.
Bilingual Capabilities
With a training foundation of 90 billion Arabic and 90 billion English tokens, Mulhem is not just the first of its kind in terms of regional specificity but also in linguistic versatility. This dual-language capability ensures that Mulhem can serve a wide range of applications, from international business to local cultural projects.
Local Training and Development
Proudly trained and developed in Saudi Arabia, Mulhem leverages the latest in AI research and development practices, including Supervised Fine-tuning and Direct Preference Optimization. This local focus not only underscores Navid commitment to national talent and resources but also ensures that Mulhem is perfectly aligned with the needs and nuances of the Saudi market.
Innovative Technology
Embracing cutting-edge technologies, Mulhem is equipped with advanced AI features that enable it to perform a wide array of tasks, from natural language processing and context-aware communication to complex data analysis and retrieval tasks, all with exceptional accuracy and efficiency.
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