diff --git a/docs/python/README.rst b/docs/python/README.rst
index e9dfd5a3da..029ce83a71 100644
--- a/docs/python/README.rst
+++ b/docs/python/README.rst
@@ -1,12 +1,9 @@
 ONNX Runtime
 ============
 
-ONNX Runtime
-enables high-performance evaluation of trained machine learning (ML)
-models while keeping resource usage low once converted into ONNX format.
-See `project information <https://github.com/microsoft/onnxruntime>`_
-and `Python API documentation and examples <https://aka.ms/onnxruntime-python>`_
-for further details.
+ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models.
+For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_ or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
+
 
 Changes
 -------
diff --git a/docs/python/index.rst b/docs/python/index.rst
index f10d0856ba..06816409ab 100644
--- a/docs/python/index.rst
+++ b/docs/python/index.rst
@@ -2,13 +2,8 @@
 Python Bindings for ONNX Runtime
 ================================
 
-ONNX Runtime enables high-performance evaluation of trained machine learning (ML)
-models while keeping resource usage low.
-Building on Microsoft's dedication to the
-`Open Neural Network Exchange (ONNX) <https://onnx.ai/>`_
-community, it supports traditional ML models as well
-as Deep Learning algorithms in the
-`ONNX-ML format <https://github.com/onnx/onnx/blob/master/docs/IR.md>`_.
+ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models.
+For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_ or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
 
 .. toctree::
     :maxdepth: 1
@@ -16,27 +11,3 @@ as Deep Learning algorithms in the
     tutorial
     api_summary
     auto_examples/index
-
-:ref:`genindex`
-
-The core library is implemented in C++.
-*ONNX Runtime* is available on
-PyPi for Linux Ubuntu 16.04, Python 3.5+ for both
-`CPU <https://pypi.org/project/onnxruntime/>`_ and
-`GPU <https://pypi.org/project/onnxruntime-gpu/>`_.
-Please see `system requirements <https://github.com/Microsoft/onnxruntime#system-requirements>`_ before installating the packages.
-This example demonstrates a simple prediction for an
-`ONNX-ML format <https://github.com/onnx/onnx/blob/master/docs/IR.md>`_
-model. The following file ``model.onnx`` is taken from
-github `onnx...test_sigmoid <https://github.com/onnx/onnx/tree/master/onnx/backend/test/data/node/test_sigmoid>`_.
-
-.. runpython::
-    :showcode:
-
-    import numpy
-    import onnxruntime as rt
-    sess = rt.InferenceSession("model.onnx")
-    input_name = sess.get_inputs()[0].name
-    X = numpy.random.random((3,4,5)).astype(numpy.float32)
-    pred_onnx = sess.run(None, {input_name: X})
-    print(pred_onnx)
diff --git a/onnxruntime/__init__.py b/onnxruntime/__init__.py
index 1c45697bb3..2cdc2a500d 100644
--- a/onnxruntime/__init__.py
+++ b/onnxruntime/__init__.py
@@ -3,14 +3,8 @@
 # Licensed under the MIT License.
 # --------------------------------------------------------------------------
 """
-ONNX Runtime
-enables high-performance evaluation of trained machine learning (ML)
-models while keeping resource usage low.
-Building on Microsoft's dedication to the
-`Open Neural Network Exchange (ONNX) <https://onnx.ai/>`_
-community, it supports traditional ML models as well
-as Deep Learning algorithms in the
-`ONNX-ML format <https://github.com/onnx/onnx/blob/master/docs/IR.md>`_.
+ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models.
+For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_ or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
 """
 __version__ = "0.5.0"
 __author__ = "Microsoft"