Further improvements.

Author: madeline-underwood

content/learning-paths/cross-platform/sme2/1-get-started.md

@@ -205,10 +205,8 @@ It automatically finds and uses ``.devcontainer/devcontainer.json``:
 
 ![example image alt-text#center](VSCode.png "Figure 1: Setting up the Docker Container.")
 
-All your commands now take place in the container, so no need to prepend
-them with a Docker invocation, as VS Code handles all this transparently for you.
+All your commands now run within the container, so there is no need to prepend them with a Docker invocation, as VS Code handles all this seamlessly for you.
 
 {{% notice Note %}}
-In the remainder of this learning path, the shell commands show the Docker
-invocation so that those who do not use VS Code can copy the full command line, but if you do use VS Code, you should only use the ``COMMAND ARGUMENTS`` part.
+For the rest of this Learning Path, shell commands include the full Docker invocation so that users not using VS Code can copy the complete command line. However, if you are using VS Code, you only need to use the `COMMAND ARGUMENTS` part. 
 {{% /notice %}}

content/learning-paths/cross-platform/sme2/8-going-further.md

@@ -8,10 +8,9 @@ layout: learningpathall
 
 ## Generalize the algorithms
 
-In this Learning Path, in order to show how to use SME2 for matrix
-multiplication, only floating point multiplication was covered.
-In practice, a library or framework that supports matrix multiplication should
-cover all kinds of integers.
+In this Learning Path, you focused on using SME2 for matrix
+multiplication with floating point numbers. However in practice, any library or framework supporting matrix multiplication should
+also handle various integer types.
 
 You can see that the algorithm structure for matrix preprocessing as well
 as multiplication with the outer product does not change at all for other data
@@ -22,7 +21,7 @@ programming](https://en.wikipedia.org/wiki/Generic_programming) like C++ with
 templates. You can even make the template manage a case where the value
 accumulated during the product uses a larger type than the input matrices. SME2 has the instructions to deal efficiently with this common case scenario.
 
-This enables the library writer to focus on the algorithm, testing, and other optimizations, while allowing the compiler to generate the many variants.
+This enables the library developer to focus on the algorithm, testing, and optimizations, while allowing the compiler to generate multiple variants.
 
 ## Unroll further
 

content/learning-paths/cross-platform/sme2/_next-steps.md

@@ -16,7 +16,7 @@ further_reading:
         type: website
 
     - resource:
-        title: Arm Scalable Matrix Extension (SME) Introduction (part 1)
+        title: Arm Scalable Matrix Extension (SME) Introduction (Part 1)
         link: https://community.arm.com/arm-community-blogs/b/architectures-and-processors-blog/posts/arm-scalable-matrix-extension-introduction
         type: blog
 
@@ -26,7 +26,7 @@ further_reading:
         type: website
 
     - resource:
-        title: Arm Scalable Matrix Extension (SME) Introduction (part 2)
+        title: Arm Scalable Matrix Extension (SME) Introduction (Part 2)
         link: https://community.arm.com/arm-community-blogs/b/architectures-and-processors-blog/posts/arm-scalable-matrix-extension-introduction-p2
         type: blog