Transformers power today's AI breakthroughs, but scaling them beyond a single GPU remains a daunting engineering challenge. This practical guide bridges the gap between theory and implementation, offering a code-first approach to building and training state-of-the-art models on distributed hardware using JAX. Learn how to master tokenization, parallelism, and deployment for real-world large-scale language models.