What is JAX?

JAX is a Python library developed by Google that focuses on high-performance numerical computing, particularly for machine learning research. It allows users to automatically differentiate native Python and NumPy functions, enabling gradient-based optimization and other advanced numerical techniques. JAX can also run computations on CPUs, GPUs, and TPUs, making it well-suited for large-scale machine learning models and research. Common uses include neural network training, scientific simulations, and other tasks that require automatic differentiation and accelerated computation.