Qizheng Yang
Computer science
Hometown: Beijing, Beijing, China
Graduation date: Fall 2025
Additional details: Transfer student
FURI | Summer 2025
Domain-Specialized Course Assistant: Fine-Tuning and RAG-Enhanced LLMs for Precision in Cloud Computing Education
Generic large language models (LLMs) often provide inaccurate or irrelevant answers to course-specific questions, limiting their educational value. To solve this, we developed a specialized AI assistant for ASU’s Cloud Computing course by fine-tuning a local DeepSeek-R1 model (deployed via Ollama/Docker) on professor-student Q&As and integrated RAGFlow for retrieval-augmented generation from lectures, syllabi, and validated academic sources. This approach yielded higher accuracy and reduced hallucinations compared to generic LLMs for course content.
Mentor: Yuli Deng
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