I’ve been on the lookout for the rare LLM technology books that go into implementation depth, which is why I was thrilled when Sebastian Raschka’s book Build a Large Language Model (From Scratch) came out. I just learned about another from Sean Carroll’s Mindscape Podcast. Anil Ananthaswamy’s book Why Machines Learn: The Elegant Math Behind Modern AI looks like another good one. Unlike Raschka’s book, this one starts at the dawn of AI history and covers machine learning in depth before discussing LLMs and is focused on the math but not the code.