Building a Jax training loop for an LLM training run

The article details the process of constructing a JAX training loop for training a large language model (LLM) from scratch. It covers key components such as data loading, model initialization, forward/backward passes, and optimization steps within the JAX framework. The post serves as a practical guide for implementing efficient and scalable LLM training runs using JAX.