The EduLLM project aims to develop and evaluate the education platform
driven by a capable and open-sourced LLM with Retrieval-Augmented
Generation (RAG). The foundation of this project is the selection of robust
pretrained large language model and applying in the use case — generating
practice question paper aligned with course specific standard and provide the
knowledge point associated with each of the question. The platform ensures the
factual correctness and contextual relevance that adapts to diverse course
standard by integrating access to course materials through RAG.