Modern Applications of Generative AI

From Control to Emergent Intelligence focuses on helping learners understand how generative AI behavior is shaped, guided, and extended, moving from surface-level interaction to a systems-level perspective. The course begins with how humans control models at inference time through prompting strategies and sampling parameters, then steps back to examine how models are shaped during training through reinforcement learning, fine-tuning, and feedback. Learners develop a clear mental distinction between intelligence that is baked into a model during training and intelligence that emerges at inferen