Conducting advanced research on Large Language Models (LLMs), emphasizing their applications in edu- cation.
Developing a grading model for automated assignment evaluation, curriculum design, and personalized learning experiences, particularly for programming tasks.
Optimizing LLMs to perform efficiently in environments with constrained computational resources.
Fine-tuning open-source LLMs and utilizing prompt engineering techniques for improved performance.
Developing pipelines that integrate fine-tuned models with proprietary solutions.
Enhancing the effectiveness and scalability of LLM-based solutions through the use of knowledge graphs.
Managing and maintaining server rooms and workstations for computational experiments.