Stanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation Learning
This session covers Diffusion Models, detailing the loss function $\mathcal{L}_{t-1}$ derived from lower bounds. It also explores Foundation Model paradigms, zero-shot learning, and parameter efficiency techniques like Low-Rank Adaptation (LoRA).
Read article