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Fix QNN link, typo (#8729)
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docs/source/index.rst

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@@ -364,7 +364,7 @@ ExecuTorch tutorials.
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:header: Building and Running ExecuTorch with Qualcomm AI Engine Direct Backend
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:card_description: A tutorial that walks you through the process of building ExecuTorch with Qualcomm AI Engine Direct Backend
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:image: _static/img/generic-pytorch-logo.png
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:link: backends-qualcomm-ai-engine-direct-backend.html
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:link: backends-qualcomm.html
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:tags: Export,Backend,Delegation,QNN
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docs/source/llm/getting-started.md

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@@ -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
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The delegated model should be noticeably faster compared to the non-delegated model.
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For more information regarding backend delegateion, see the ExecuTorch guides
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For more information regarding backend delegation, see the ExecuTorch guides
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for the [XNNPACK Backend](../backends-xnnpack.md), [Core ML
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Backend](../backends-coreml.md) and [Qualcomm AI Engine Direct Backend](build-run-llama3-qualcomm-ai-engine-direct-backend.md).
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