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JAX is a powerful Python library designed for high-performance numerical computing and large-scale machine learning. It offers composable function transformations like automatic differentiation, JIT compilation to accelerators (GPU/TPU), and auto-vectorization. This powerful combination allows developers to write flexible and efficient numerical programs.