Fix windows blog examples (#6934)

blogs/windows/08-2024/README.md

@@ -48,7 +48,7 @@ Regardless of the installation choice, you can check that the installation was s
 We use an image classification model, CIFAR10, and a language model, BERT, to demonstrate pretraining on Windows with DeepSpeed.
 
 ## Pretraining CIFAR10
-The scripts and codes required for CIFAR10 pretraining example are available in the following path: DeepSpeedExamples\training\cifar. You can launch the CIFAR10 pretraining experiment using the following command: `deepspeed cifar10_deepspeed.py –deepspeed`. The final output should look something like this:
+The scripts and codes required for CIFAR10 pretraining example are available in the following path: DeepSpeedExamples\training\cifar. You can launch the CIFAR10 pretraining experiment using the following command: `deepspeed cifar10_deepspeed.py --deepspeed`. The final output should look something like this:
 <div align="center">
     <img src="./media/cifar10_training.png" style="width:6.5in;height:3.42153in" />
 </div>