Final fixes

Author: madeline-underwood

content/learning-paths/smartphones-and-mobile/Build-Llama3-Chat-Android-App-Using-Executorch-And-XNNPACK/5-Run-Benchmark-on-Android.md

@@ -52,7 +52,7 @@ cmake --build cmake-out-android -j7 --target install --config Release
 Make sure you add -DEXECUTORCH_XNNPACK_ENABLE_KLEIDI=ON option to enable support for KleidiAI kernels in ExecuTorch with XNNPack.
 {{% /notice %}}
 
-### 3. Build Llama runner for android
+### 3. Build Llama runner for Android
 
 Use `cmake` to cross-compile Llama runner:
 
@@ -78,7 +78,7 @@ You should now have `llama_main` available for Android.
 
 ## Run on Android via adb shell
 
-### 1. Connect your android phone
+### 1. Connect your Android phone
 
 Connect your phone to your computer using a USB cable.
 

content/learning-paths/smartphones-and-mobile/Build-Llama3-Chat-Android-App-Using-Executorch-And-XNNPACK/_review.md

@@ -6,7 +6,7 @@ review:
         answers:
             - ExecuTorch is an end-to-end solution for enabling on-device inference capabilities across mobile and edge devices.
             - It is a Pytorch method to quantize LLMs.
-            - It is a program to execute pytorch models.
+            - It is a program to execute PyTorch models.
         correct_answer: 1                    
         explanation: >
             ExecuTorch is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.