Minor doc fixes

Author: GregoryComer

docs/source/getting-started.md

@@ -12,7 +12,7 @@ The following are required to install the ExecuTorch host libraries, needed to e
 - g++ version 7 or higher, clang++ version 5 or higher, or another C++17-compatible toolchain.
 - Linux (x86_64 or ARM64), macOS (ARM64), or Windows (x86_64).
     - Intel-based macOS systems require building PyTorch from source (see [Building From Source](using-executorch-building-from-source.md) for instructions).
-- On Windows, Visual Studio 2022 or later. Clang build tools are needed to build from source.
+- On Windows, Visual Studio 2022 or later.
 
 ## Installation
 To use ExecuTorch, you will need to install both the Python package and the appropriate platform-specific runtime libraries. Pip is the recommended way to install the ExecuTorch python package.

docs/source/using-executorch-building-from-source.md

@@ -83,7 +83,7 @@ portability details.
   CMAKE_ARGS="-DEXECUTORCH_BUILD_MPS=ON" ./install_executorch.sh
   ```
 
-  ## Verify the Build
+  ### Verify the Build
 
 To verify that the Python components are installed correctly, run the following command. This will create a file named mv2_xnnpack_fp32.pte in the current directory for the MobileNet V2 model with the XNNPACK backend. If it completes without error, the ExecuTorch Python components are installed successfully.
 ```bash