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.
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.
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.
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.