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@ -27,7 +27,7 @@ composed arbitrarily, so you can express sophisticated algorithms and get
maximal performance without leaving Python.
Dig a little deeper, and you'll see that JAX is really an extensible system for
[composable transformations of functions](#transformations). Both
[composable function transformations](#transformations). Both
[`grad`](#automatic-differentiation-with-grad) and [`jit`](#compilation-with-jit)
are instances of such transformations. Another is [`vmap`](#auto-vectorization-with-vmap)
for automatic vectorization, with more to come.