Learn faster. Build smarter. Use AI responsibly. Network!
This workshop series provides a skill-focused hands-on introduction to various topics in Large Language Models (LLMs) and other Foundation Models, specifically designed for Harvard STEM students and researchers. Each workshop emphasizes practical use cases for academic work: building research assistants, automating data analysis, solving complex problems, ensuring responsible use, and understanding the technical foundations that enable these capabilities.
What you’ll learn
- Hands-on learning: Workshops are interactive and code-focused, using Python and Google Colab.
- Technical transparency: AI concepts are taught through simplified implementations and practical coding.
- Responsible use: Practical ethical considerations, including privacy, bias, and environmental impact.
- Modular design: Each session is self-contained, allowing flexible participation without prerequisites.
Schedule
All events held at the Northwest Building in Room B103. Reception to follow each session
Limited to Harvard ID holders only