diff --git a/docs/source/index.rst b/docs/source/index.rst
index 9a5adbca5cd..128ecda638c 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -364,7 +364,7 @@ ExecuTorch tutorials.
    :header: Building and Running ExecuTorch with Qualcomm AI Engine Direct Backend
    :card_description: A tutorial that walks you through the process of building ExecuTorch with Qualcomm AI Engine Direct Backend
    :image: _static/img/generic-pytorch-logo.png
-   :link: backends-qualcomm-ai-engine-direct-backend.html
+   :link: backends-qualcomm.html
    :tags: Export,Backend,Delegation,QNN
 
 .. customcarditem::
diff --git a/docs/source/llm/getting-started.md b/docs/source/llm/getting-started.md
index d667963ab82..066bb3f3d1c 100644
--- a/docs/source/llm/getting-started.md
+++ b/docs/source/llm/getting-started.md
@@ -588,7 +588,7 @@ I'm not sure if you've heard of the "Curse of the Dragon" or not, but it's a ver
 
 The delegated model should be noticeably faster compared to the non-delegated model.
 
-For more information regarding backend delegateion, see the ExecuTorch guides
+For more information regarding backend delegation, see the ExecuTorch guides
 for the [XNNPACK Backend](../backends-xnnpack.md),  [Core ML
 Backend](../backends-coreml.md) and [Qualcomm AI Engine Direct Backend](build-run-llama3-qualcomm-ai-engine-direct-backend.md).