Dhareeba vs Fanar

Dhareeba Mobile Application is an electronic system that connects the General Tax Authority and its partners from the relevant government agencies and taxpayers. It automatically calculates and process the various types of tax to assist taxpayers in managing their tax transactions, in accordance with the Qatari tax laws

The Fanar app is an AI assistant that can help you boost your creativity and productivity in various tasks, particularly those based on the Arabic language including content generation, text summarization, translation, domain specific Q &A, and beyond. Fanar is driven by a commitment to preserving the richness and diversity of the Arabic language, along with its unique dialects, cultural and religious heritage, traditions and values. It is an indispensable resource for individuals and organizations seeking to connect with the Arabic language and its diverse communities . As a comprehensive family of language models, Fanar is specifically designed to understand and generate both written and spoken Arabic, including various dialects. Fanar can engage in natural conversations in English and multiple Arabic dialects, generate culturally aligned content including text, speech, and images. What sets Fanar apart is its comprehensive suite of services covering core language processing, speech recognition, image generation, and specialized knowledge retrieval. Key Features: Arabic-First Approach. Built from the ground up with Arabic language and culture at its core. Comprehensive Agentic Suite. Encompassing two Fanar models (Fanar Star, fully built from scratch, and Fanar Prime built on Gemma2 9B through continual learning), Fanar Speech, Fanar Translation, and Fanar Image Generation models for comprehensive user experience. Bilingual and Arabic dialectal support. Interact with Fanar in English, Arabic MSA, or Arabic dialects either in written textor speech. Islamic RAG: Specialized system for accurate religious content. Fanar Attribution: Wikipedia-backed revision and fact-checking system. MultiModal: Speech Recognition, Text-to-Speech, Image Generation. Fanar is developed by the Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University (HBKU), a member of Qatar Foundation for Education, Science, and Community Development. It is sponsored by the Qatari government through the Ministry of Communications and Information Technology. Read Fanar’s Terms of Service at https://fanar.qa/