AI for Education

AI for Education: Drones (also called unmanned aerial vehicles, UAVs) can be used to handle dangerous tasks, such as inspecting buildings after earthquakes. Drones typically rely on computer vision for decision making, such as recognizing obstacles or objects of interest. This project aims to develop the solutions that can recognize objects captured by cameras mounted on drones.

Advisors:

Description:

The AI in Education (AIE) team investigates the broad potential of Large Language Models (LLMs) in education, ranging from AI chatbot tutor to adaptive learning systems, intelligent content creation, and automated assessment. Our research emphasizes the handling of massive and heterogeneous data such as text, code, image, audio, and video, enabling AI to offer personalized learning experiences that adapt to diverse student needs. We are currently exploring LLMs and Retrieval Augmented Generation (RAG) to build AI systems capable of providing tailored instruction, answering complex questions, and enhancing educational experiences across various disciplines. In this course, you will delve into how AI can transform education, gain foundational knowledge in deep learning and LLMs, and implement innovative solutions using modern AI tools and frameworks.

 

Prerequisites:

The members are expected to have finished one semester of calculus and one programming course.