Building Apps with Large Language Models
This course is closed for enrollment.
"Robert's course on building applications with LLMs was great. His unique talent for simplifying complex topics made it easy for me to understand and, more importantly, apply them in real-life scenarios. Throughout the course, I encountered several nuances and challenges associated with LLMs that I wouldn't have been aware of otherwise. One aspect of the course that I particularly appreciated was its focus on practicality. Robert didn't just teach theory; he guided us through the process of shaping technical projects into prototypes that solve real-market challenges. I also really liked the sense of community within the course and collaboration with fellow students. Highly recommended!"
- Michael Hart, VP Strategy, Prescient Co.
Frequently Asked Questions
Robert is currently a research scientist at Microsoft Research and faculty at the Northeastern University department of computer science. He has worked in industry as a research engineer and data scientist building production quality systems for Bayesian decision-making under uncertainty.
Robert didn't start in machine learning. He started his career by becoming fluent in Mandarin Chinese and moving to Tibet to do developmental economics fieldwork. He later obtained a graduate degree from Johns Hopkins School of Advanced International Studies.
Robert attained his Ph. D. in mathematical statistics from Purdue University. He has published in top tier journals and venues on topics including causal inference, probabilistic modeling, sequential decision processes, and dynamic models of complex systems.