Most books explain how large language models work. This one makes you build one - every layer, from a scalar .backward() to a production serving stack you understand all the way down.
36 projects, one method: build it, break it, measure it. You write every system from scratch, run an experiment designed to make it fail, and read the numbers to learn why. Autograd and attention from first principles. A GPT you train yourself. Tokenizers, KV caches, speculative decoding, and fp8 serving. Quantization, MoE, and scaling laws. RLHF, RLVR, and test-time reasoning. Diffusion decoding and hybrid SSM/attention models - the 2026 frontier included.
No hand-waving. Every number traces to a primary source. If it's slow, you profile it. If it's wrong, you break it on purpose to see how.
For engineers, researchers, and students who refuse to treat AI as a black box. If you can write Python and remember a little calculus, you can build everything in this book - and by the last page, nothing between the prompt and the token will be a mystery to you.
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。
