Porting nanochat to TPU: PyTorch-JAX differences

The guide details converting a PyTorch-based nanochat model to run on TPUs using JAX, highlighting compatibility issues with CUDA kernels and custom ops. Key challenges include reshaping for matrix units and adapting mixed precision training to bfloat16.