Welcome to the repository for the Generative AI Labs course (94-844) at Carnegie Mellon University, Fall 2024. This repository contains the lab exercises for the course, providing hands-on experience with Generative AI models and tools.
- Course: 94-844 – Generative AI Lab
- Instructor: Beibei Li
- TAs:
- Michael Bogush (mbogush@andrew.cmu.edu)
- Sara Kingsley (skingsle@cs.cmu.edu)
- Time: Tue/Thu 9:30-10:50pm
- Labs: Friday 12:30-1:30pm (via Zoom)
- Location: HbH 2008
This repository contains four folders, each corresponding to a lab assignment:
- Lab1: Environment Setup & OpenAI API
- Lab2: Text Generation & Prompt Engineering
- Lab3: Retrieval-Augmented Generation (RAG)
- Lab4: Image Generation (DALL-E, MidJourney, Stable Diffusion)
Each lab folder includes:
- Jupyter Notebooks
- Any additional resources
- Assignments: 60%
- Class Participation: 20%
- Final Project: 20%