The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
- Published
- Source
- arXiv
- Paper number
- 280
- Field
- Machine Learning
- arXiv ID
- 2605.29713
Key points
- This book provides a concise, derivation-driven introduction to the mathematical foundations of modern generative artificial intelligence.
- Its goal is to make the structure of generative modeling more accessible without stripping away the mathematical content needed to understand how these models are derived and how they relate to one another.
- The book is intended as a foundational primer for researchers, practitioners, and students who are curious about mathematics.
Paper links
External research summaries. These are not HDATF publications or measured product results.