message: Edit tensorflow.org/community/swift page.
diff: @@ -9,23 +9,22 @@ important enough for first-class language and compiler support, and thus works
  very differently from normal language bindings.
  First-class language and compiler support allow us to innovate in areas that
  -traditionally were out of bounds for machine learning libraries. Our programming
  -model combines the performance of TensorFlow graphs with the flexibility and
  -expressivity of Eager execution, while keeping a strong focus on improved
  -usability at every level of the stack.
  -
  +traditionally were out of bounds for machine learning libraries. Our
  +programming model combines the performance of TensorFlow graphs with the
  +flexibility and expressivity of Eager execution, while keeping a strong focus
  +on improved usability at every level of the stack.
  ## Open Source
  We have released Swift for TensorFlow as an open-source project on GitHub!
  -Our [central repository](https://github.com/tensorflow/swift) contains project
  -documentation, including an
  -[overview and technical papers](https://github.com/tensorflow/swift/tree/master/docs)
  -explaining specific areas of the project in depth. This repo also includes
  -instructions for [installing prebuilt packages](https://github.com/tensorflow/swift/blob/master/Installation.md)
  -for macOS and Linux platforms, [simple usage instructions](https://github.com/tensorflow/swift/blob/master/Usage.md),
  -and how to build from source.
  +Our [documentation repository](https://github.com/tensorflow/swift) contains a
  +[project overview](https://github.com/tensorflow/swift/blob/master/docs/DesignOverview.md)
  +and [technical papers](https://github.com/tensorflow/swift/tree/master/docs)
  +explaining specific areas in depth. There are also instructions for [installing
  +pre-built packages](https://github.com/tensorflow/swift/blob/master/Installation.md)
  +(for macOS and Ubuntu) as well as a simple
  +[usage tutorial](https://github.com/tensorflow/swift/blob/master/Usage.md).
  Moving forward, we will use an open design model and all discussions will be
  public.
  