Dates: 2024
Principal Investigator: Dr. Sadam Al Azani
Description: Tafsir: Harnessing LLMs for Concise and Relevant Tafsir Extraction" is a project aimed at leveraging Large Language Models (LLMs) for finding the material for a given verse or a given topic from from a given Tafseer or a group of selected Tafaseer. By utilizing advanced natural language processing techniques, the project seeks to develop algorithms and tools that can efficiently sift through vast amounts of textual data to extract key insights and interpretations (Tafasir) related to Quranic verses.

The goal is to provide scholars, students, and enthusiasts with a streamlined method for accessing and understanding the rich interpretations (Tafasir), ultimately facilitating deeper comprehension and analysis of religious teachings.

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