Discuss current high-level trends in deep learning frameworks. Then compare PyTorch and JAX across at least three dimensions, such as:
Conclude with concrete scenarios where you would prefer one framework over the other.
Assume the reader knows Python and array-based ML, but not the internals of each framework. Focus on how design choices affect performance, portability, and developer productivity.
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