mathematical rigor

A practical guide to diffusion models that balances deep math with clear insight

The balance between mathematical rigor and intuitive insight in *The Principles of Diffusion Models* is genuinely exceptional. It's a practical guide aimed at researchers and practitioners who already have basic deep learning knowledge, no prior specialization in diffusion models required. The dedicated appendices invite deeper dives into the math without overwhelming the main text. For readers exploring how AI models evolve, our piece on how small AI models closed the gap on a test built for humans offers a complementary perspective.