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DOC: update JAX quick description

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Jake VanderPlas 2024-02-26 14:14:11 -08:00
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README.md
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## What is JAX?
JAX is [Autograd](https://github.com/hips/autograd) and [XLA](https://www.tensorflow.org/xla),
brought together for high-performance numerical computing, including
large-scale machine learning research.
JAX is a Python library for accelerator-oriented array computation and program transformation,
designed for high-performance numerical computing and large-scale machine learning.
With its updated version of [Autograd](https://github.com/hips/autograd),
JAX can automatically differentiate native

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docs/index.rst
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JAX: High-Performance Array Computing
=====================================
JAX is Autograd_ and XLA_, brought together for high-performance numerical computing.
JAX is a Python library for accelerator-oriented array computation and program transformation,
designed for high-performance numerical computing and large-scale machine learning.
If you're looking to train neural networks, use Flax_ and start with its documentation.
Some associated tools are Optax_ and Orbax_.
@ -93,8 +94,6 @@ For an end-to-end transformer library built on JAX, see MaxText_.
glossary
.. _Autograd: https://github.com/hips/autograd
.. _XLA: https://openxla.org/xla
.. _Flax: https://flax.readthedocs.io/
.. _Orbax: https://orbax.readthedocs.io/
.. _Optax: https://optax.readthedocs.io/