Updating ExecuTorch getting started page.

Author: AlannaBurke

_get_started/mobile.md

@@ -1,6 +1,6 @@
 ---
 layout: get_started
-title: ExecuTorch
+title: PyTorch for Edge
 permalink: /get-started/executorch/
 background-class: get-started-background
 body-class: get-started
@@ -10,11 +10,29 @@ published: true
 
 ## Get Started with PyTorch ExecuTorch
 
-<p>
-    <a href="https://pytorch.org/executorch/stable/index.html" class="btn btn-lg with-right-arrow">
-    ExecuTorch Documentation
-    </a>
-</p>
+PyTorch’s edge specific library is [ExecuTorch(https://github.com/pytorch/executorch/)] and is designed to be lightweight, very performant even on devices with constrained hardware such as mobile phones, embedded systems and microcontrollers.
+
+ExecuTorch relies heavily on PyTorch core technologies such as [torch.compile](https://pytorch.org/docs/stable/torch.compiler.html) and [torch.export](https://pytorch.org/docs/main/export.html), and should be very familiar with anyone who has used PyTorch in the past.
+
+### Getting Started
+You can get started by following the [general getting started guide](https://pytorch.org/executorch/stable/getting-started.html#) or jump to the specific steps for your target device.
+
+[Using ExecuTorch on Android](https://pytorch.org/executorch/stable/using-executorch-android.html)
+[Using ExecuTorch on iOS](https://pytorch.org/executorch/stable/using-executorch-ios.html)
+[Using ExecuTorch with C++](https://pytorch.org/executorch/stable/using-executorch-cpp.html)
+
+### Hardware Acceleration
+ExecuTorch provides out of the box hardware acceleration for a growing number of chip manufacturers. See the following resources to learn more about how to leverage them.
+
+[Backend Overview](https://pytorch.org/executorch/stable/backends-overview.html)
+[XNNPACK](https://pytorch.org/executorch/stable/backends-xnnpack.html)
+[Core ML](https://pytorch.org/executorch/stable/backends-coreml.html)
+[MPS](https://pytorch.org/executorch/stable/backends-mps.html)
+[Vulkan](https://pytorch.org/executorch/stable/backends-vulkan.html)
+[ARM Ethos-U](https://pytorch.org/executorch/stable/backends-arm-ethos-u.html)
+[Qualcomm AI Engine](https://pytorch.org/executorch/stable/backends-qualcomm.html)
+[MediaTek](https://pytorch.org/executorch/stable/backends-mediatek.html)
+[Cadence Xtensa](https://pytorch.org/executorch/main/backends-cadence.html)
 
 
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