In this session, you’ll explore how AI products evolve from raw model outputs to real-world tools that drive value in production. We’ll break down how foundation models are refined after training, where emerging API capabilities are opening new doors for developers, and what separates successful GenAI apps from those that fall short.

Hosted by Aditya Challapally, with insights from Michelle Pokrass (Post-Training Research Manager at OpenAI) and Stanford professor Chris Potts, this conversation reveals what it really takes to move from cutting-edge models to AI applications that are reliable, effective, and built to last.

Presented By
The Stanford Online Artificial Intelligence program.

Questions?
stanfordonline-ai@stanford.edu