Typo

w-azure · w-azure · commit c951fc04c719 · 2022-07-26T15:22:36.000-07:00
diff --git a/articles/iot-edge/configure-connect-verify-gpu.md b/articles/iot-edge/configure-connect-verify-gpu.md
@@ -233,4 +233,4 @@ az group list
 
 ## Next steps
 
-This article helped you set up your virtual machine and IoT Edge device to be GPU-accelerated. To run an application with a similar setup, try this Microsoft Learn tutorial [NVIDIA DeepStream development with Microsoft Azure](/learn/paths/nvidia-deepstream-development-with-microsoft-azure/?WT.mc_id=iot-47680-cxa). The Learn tutorial shows you how to develop optimized Intelligent Video AApplications that can consume multiple video, image, and audio sources.
+This article helped you set up your virtual machine and IoT Edge device to be GPU-accelerated. To run an application with a similar setup, try this Microsoft Learn tutorial [NVIDIA DeepStream development with Microsoft Azure](/learn/paths/nvidia-deepstream-development-with-microsoft-azure/?WT.mc_id=iot-47680-cxa). The Learn tutorial shows you how to develop optimized Intelligent Video Applications that can consume multiple video, image, and audio sources.

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`@@ -233,4 +233,4 @@ az group list`
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`234`	`234`	`## Next steps`
`235`	`235`
`236`		`-This article helped you set up your virtual machine and IoT Edge device to be GPU-accelerated. To run an application with a similar setup, try this Microsoft Learn tutorial [NVIDIA DeepStream development with Microsoft Azure](/learn/paths/nvidia-deepstream-development-with-microsoft-azure/?WT.mc_id=iot-47680-cxa). The Learn tutorial shows you how to develop optimized Intelligent Video AApplications that can consume multiple video, image, and audio sources.`
	`236`	`+This article helped you set up your virtual machine and IoT Edge device to be GPU-accelerated. To run an application with a similar setup, try this Microsoft Learn tutorial [NVIDIA DeepStream development with Microsoft Azure](/learn/paths/nvidia-deepstream-development-with-microsoft-azure/?WT.mc_id=iot-47680-cxa). The Learn tutorial shows you how to develop optimized Intelligent Video Applications that can consume multiple video, image, and audio sources.`