message: Fix PluggableDevice explanation in the release notes to avoid confusion.
diff: @@ -173,9 +173,8 @@ This release contains contributions from many people at Google, as well as:
  * `tf.distribute.experimental.ParameterServerStrategy` now supports
  training with Keras `Model.fit` when used with `DatasetCreator`.
  * PluggableDevice
  - * Third-party devices can now connect to TensorFlow
  - [modularly](https://github.com/tensorflow/community/blob/master/rfcs/20190305-modular-tensorflow.md)
  - through [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
  + * Third-party devices can now connect to TensorFlow as plug-ins through
  + [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md)
  and [PluggableDevice](https://github.com/tensorflow/community/blob/master/rfcs/20200624-pluggable-device-for-tensorflow.md) interface.
  * Add custom ops and kernels through
  [kernel and op registration C API](https://github.com/tensorflow/community/blob/master/rfcs/20190814-kernel-and-op-registration.md).
  