rezarokni commented on code in PR #24125:
URL: https://github.com/apache/beam/pull/24125#discussion_r1021940461


##########
examples/notebooks/beam-ml/README.md:
##########
@@ -18,27 +18,27 @@
 -->
 # ML Sample Notebooks
 
-As of Beam 2.40 users now have access to a
+Starting with the Apache Beam SDK version 2.40, users have access to a
 
[RunInference](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference)
 transform.
 
-This allows inferences or predictions of on data for
-popular ML frameworks like TensorFlow, PyTorch and
+This transform allows you to make inferences or predictions on data for
+popular machine learning frameworks like TensorFlow, PyTorch, and

Review Comment:
   From
   predictions on data for popular machine learning frameworks 
   To 
   predictions and inference on data with ML models. The model handler 
abstracts the user from the configuration needed for specific frameworks, for 
example Tensorflow, PyTorch and others. A full list available here...



##########
examples/notebooks/beam-ml/README.md:
##########
@@ -18,27 +18,27 @@
 -->
 # ML Sample Notebooks
 
-As of Beam 2.40 users now have access to a
+Starting with the Apache Beam SDK version 2.40, users have access to a
 
[RunInference](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.RunInference)
 transform.
 
-This allows inferences or predictions of on data for
-popular ML frameworks like TensorFlow, PyTorch and
+This transform allows you to make inferences or predictions on data for
+popular machine learning frameworks like TensorFlow, PyTorch, and
 scikit-learn.
 
 ## Using The Notebooks
 
-These notebooks illustrate usages of Beam's RunInference, as well as different
-usages of implementations of 
[ModelHandler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler).
-Beam comes with various implementations of ModelHandler.
+These notebooks illustrate ways to use Apache Beam's RunInference transforms, 
as well as different
+use cases for 
[ModelHandler](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler)
 implementations.
+Beam comes with multiple ModelHandler implementations.

Review Comment:
   link



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