Volume 2

Volume 2 - Mathematics for AI Engineers

Mathematics is usually taught separately from the systems it explains. Every mathematical idea is introduced through an AI engineering use, and every chapter states both where the idea applies and where the analogy stops: tokens can be represented by vectors, many training algorithms use gradients, attention includes matrix products, and evaluation requires probabilistic and statistical assumptions.