Safety
49d agoOverview of Deep Learning Theoretical Frameworks
A new synthesis on LessWrong examines the narrowing gap between empirical scaling success and formal deep learning theory. The author maps mathematically dense frameworks used to explain observed model phenomena. These theories provide a formal language for the field.
The Signal
Practitioners can use these lenses to better predict model behavior beyond trial and error.