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docs/source/getting-started-architecture.md
@@ -18,7 +18,7 @@ There are three phases to deploy a PyTorch model to on-device: program preparati
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ExecuTorch extends the flexibility and usability of PyTorch to edge devices. It
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leverages PyTorch 2 compiler and export functionality
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-([TorchDynamo](https://pytorch.org/docs/stable/dynamo/index.html),
+([TorchDynamo](https://pytorch.org/docs/stable/torch.compiler_dynamo_overview.html),
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[AOTAutograd](https://pytorch.org/functorch/stable/notebooks/aot_autograd_optimizations.html),
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[Quantization](https://pytorch.org/docs/main/quantization.html),
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[dynamic shapes](https://pytorch.org/get-started/pytorch-2.0/#pytorch-2x-faster-more-pythonic-and-as-dynamic-as-ever),
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