Update prototype_source/max_autotune_on_CPU_tutorial.rst

Co-authored-by: Svetlana Karslioglu <[email protected]>

Author: chunyuan-w

prototype_source/max_autotune_on_CPU_tutorial.rst

@@ -2,6 +2,11 @@ Use max-autotune compilation on CPU to gain additional performance boost
 ==============================================================
 
 **Author**: `Jiong Gong <https://github.com/jgong5>`__, `Leslie Fang <https://github.com/leslie-fang-intel>`__, `Chunyuan Wu <https://github.com/chunyuan-w>`__
+In this tutorial, you will learn how to boost your PyTorch models' performance on CPU by 
+leveraging the max-autotune mode in the Inductor CPU backend. Explore the activation
+process, understand the differences from traditional methods, and integrate max-autotune
+into your code for enhanced computational efficiency. Dive into the use of advanced
+GEMM templates for faster processing and superior runtime performance.
 
 Prerequisites:
 ----------------