spelling mistakes correction, and add short commands for default CUDA EP based olive+modelopt

Signed-off-by: vipandya <vipandya@nvidia.com>

Author: vishalpandya1990

docs/source/getting_started/windows/_installation_with_olive.rst

@@ -24,7 +24,9 @@ Setup Steps for Olive with ModelOpt-Windows
             $ pip install onnxruntime-genai-cuda
             $ pip install onnxruntime-gpu
 
-   - Above onnxruntime and onnxruntime-genai packages enable Olive workflow with CUDA Execution-Provider (EP). To use other EPs, install corresponding packages; refer to the ONNX Runtime's `EP documentation <https://onnxruntime.ai/docs/execution-providers/>`_ for details about differfent EPs and thier requirements and installation instructions.
+   - Above onnxruntime and onnxruntime-genai packages enable Olive workflow with CUDA Execution-Provider (EP). To use other EPs, install corresponding packages.
+
+   - Refer to the ONNX Runtime's `EP documentation <https://onnxruntime.ai/docs/execution-providers/>`_ for details about different EPs, their requirements, and installation instructions.
 
    - Additionally, ensure that dependencies for Model Optimizer - Windows are met as mentioned in the :ref:`Install-Page-Standalone-Windows`.
 

examples/windows/README.md

@@ -51,7 +51,14 @@ pip install nvidia-modelopt[onnx]
 
 ### Installation with Olive
 
-The ModelOpt-Windows is integrated in Microsoft's [Olive](https://microsoft.github.io/Olive/) framework. To install ModelOpt with Olive, please refer to the [detailed installation instructions](https://nvidia.github.io/Model-Optimizer/getting_started/windows/_installation_for_Windows.html).
+The ModelOpt-Windows is integrated into Microsoft's [Olive](https://microsoft.github.io/Olive/) framework. Run the following commands to install ModelOpt through Olive.
+
+```bash
+pip install olive-ai[nvmo]
+pip install onnxruntime-genai-cuda
+```
+
+For more details, or to use different [ONNX Runtime Execution Providers](https://onnxruntime.ai/docs/execution-providers/), refer to the [detailed installation instructions](https://nvidia.github.io/Model-Optimizer/getting_started/windows/_installation_for_Windows.html).
 
 ## Techniques