Welcome to Generative AI
Master transformer architectures, implement generative AI models from scratch, and explore the foundations of Large Language Models.
Transformer Architecture
Build complete transformer models from scratch, understanding attention mechanisms and modern generative systems
Hands-on Implementation
Create functional LLMs with practical projects covering pre-training, fine-tuning, and alignment techniques
Advanced AI Techniques
Master chain-of-thought reasoning, instruction fine-tuning, RLHF, and efficient inference methods
Meet Your Instructor
Prof. Ron (Rongyu) Lin
Assistant Professor of Computer Science at Quinnipiac University, with expertise in Multi-fidelity and Multi-agent Interactive Engineering, Computational Materials Discovery, and AI Cross-domain Applications.
Office: CCE 233, Quinnipiac University
Email: rongyu.lin@qu.edu
