Updates

Author: madeline-underwood

content/learning-paths/laptops-and-desktops/win_on_arm_build_onnxruntime/1-dev-env-setup.md

@@ -8,9 +8,9 @@ layout: learningpathall
 
 ## Overview
 
-In this Learning Path, you'll learn build and deploy a large language model (LLM) on a Windows on Arm (WoA) laptop using ONNX Runtime for inference. 
+In this Learning Path, you'll learn how to build and deploy a large language model (LLM) on a Windows on Arm (WoA) machine using ONNX Runtime for inference. 
 
-You'll learn how to:
+Specifically, you'll learn how to:
 
 * Build ONNX Runtime and the Generate() API library.
 * Download the Phi-3 model and run inference. 
@@ -22,25 +22,29 @@ The short-context version accepts shorter (4K) prompts and generates shorter out
 
 ## Set up your Development Environment 
 
-Your first task is to prepare a development environment with the required software. Start by installing the required tools:
+Your first task is to prepare a development environment with the required software. 
 
-- Visual Studio 2022 IDE (latest version recommended).
+Start by installing the required tools:
+
+- Visual Studio 2022 IDE (the latest version available is recommended).
 - Python 3.10 or higher.
 - CMake 3.28 or higher.
 
+{{% notice Note %}}
 These instructions were tested on a 64-bit WoA machine with at least 16GB of RAM.
+{{% /notice %}}
 
 ## Install and Configure Visual Studio 2022 
 
-Follow these steps:
+Now, to install and configure Visual Studio, follow these steps:
 
 1. Download the latest [Visual Studio IDE](https://visualstudio.microsoft.com/downloads/). 
 
-2. Select the **Community** edition. This downloads an installer called *VisualStudioSetup.exe*. 
+2. Select the **Community** edition. This downloads an installer called `VisualStudioSetup.exe`. 
 
-3. Run the installer (*VisualStudioSetup.exe*) from your **Downloads** folder.
+3. Run `VisualStudioSetup.exe` from your **Downloads** folder.
 
-4. Follow the prompts and accept the **License Terms** and **Privacy Statement**.
+4. Follow the prompts and accept the License Terms and Privacy Statement.
 
 5. When prompted to select workloads, select **Desktop Development with C++**. This installs the **Microsoft Visual Studio Compiler** (**MSVC**).
 

content/learning-paths/laptops-and-desktops/win_on_arm_build_onnxruntime/2-build-onnxruntime.md

@@ -19,7 +19,7 @@ You can learn more about ONNX Runtime by reading the [ONNX Runtime Overview](htt
 
 ### Clone the ONNX Runtime repository
 
-Open a command prompt for Visual Studio to set up the environment. This includes paths to the compiler, linker, utilities, and header files. 
+Open a command prompt for Visual Studio to set up the environment, which includes paths to the compiler, linker, utilities, and header files. 
 
 Then, create your workspace and clone the repository:
 
@@ -40,22 +40,22 @@ You might be able to use a later commit. These steps have been tested with the c
 
 To build the ONNX Runtime shared library, use one of the following configurations:
 
--**Release** configuration for a build optimized for performance but without debug information:
+* **Release** configuration, for a build optimized for performance but without debug information:
 
 
 ```bash
 .\build.bat --config Release --build_shared_lib --parallel --compile_no_warning_as_error --skip_submodule_sync  --skip_tests
 ```
 
-**RelWithDebInfo** configuration, which includes debug symbols for profiling or inspection:
+* **RelWithDebInfo** configuration, which includes debug symbols for profiling or inspection:
 
 ```bash
 .\build.bat --config RelWithDebInfo  --build_shared_lib --parallel --compile_no_warning_as_error --skip_submodule_sync  --skip_tests
 ```
 
 
 ### Resulting Dynamic Link Library
-When the build is complete, you'll find the `onnxruntime.dll` dynamic linked library in: 
+When the build is complete, you'll find the `onnxruntime.dll` dynamic linked library in the following respective directories: 
 
 * For **Release** build: