Edits to Executorch blog post and page (pytorch#1489)

* Update 2023-10-17-pytorch-edge.md

Updated author and added CTA at end.

* Update executorch.html

Fixed staging links.

Author: alenacal

Diff for: _posts/2023-10-17-pytorch-edge.md

@@ -1,11 +1,9 @@
 ---
 layout: blog_detail
 title: "PyTorch Edge: Enabling On-Device Inference Across Mobile and Edge Devices with ExecuTorch"
-author:  Ali Khosh, Martin Yuan, Bilgin Cagatay
+author:  the PyTorch Edge Team
 ---
 
-**Other contributors**: Dave Bort, Kimish Patel, Mergen Nachin, Orion Reblitz-Richardson, Andrew Caples
-
 We are excited to announce ExecuTorch, our all-new solution for enabling on-device inference capabilities across mobile and edge devices with the backing of industry leaders like Arm, Apple, and Qualcomm Innovation Center. 
 
 As part of PyTorch Edge's vision for the future of the on-device AI stack and ecosystem, ExecuTorch addresses the fragmentation in the on-device AI ecosystem. It offers a design that provides extension points for seamless third-party integration to accelerate ML models on specialized hardware. Our partners have contributed custom delegate implementations to optimize model inference execution on their respective hardware platforms.
@@ -34,4 +32,6 @@ PyTorch Edge builds on the same fundamental principle of improving research to p
 
 PyTorch Edge provides portability of core components that is required to reach a wide spectrum of devices which are characterized by differing hardware configurations, performance and efficiency. Such portability is achieved by allowing optimization that are custom developed for the target use-cases, and developer productivity via well defined entry-points, representations, and tools to tie all this together into a thriving ecosystem. 
 
-PyTorch Edge is the future of the on-device AI stack and ecosystem for PyTorch. We are excited to see what the community builds with ExecuTorch’s on-device inference capabilities across mobile and edge devices backed by our industry partner delegates. 
+PyTorch Edge is the future of the on-device AI stack and ecosystem for PyTorch. We are excited to see what the community builds with ExecuTorch’s on-device inference capabilities across mobile and edge devices backed by our industry partner delegates. 
+
+[Learn more about PyTorch Edge and ExecuTorch](https://pytorch.org/executorch/stable/index.html).

Diff for: executorch.html

@@ -56,7 +56,7 @@ <h2 class="mt-5 mb-2" id="what-is-executorch">What is ExecuTorch?</h2>
 
         <h2 class="mt-5 mb-2" id="explore-executorch">Explore ExecuTorch</h2>
 
-        <p>We are excited to see how the community leverages our all new on-device AI stack. You can learn more about  <a href="https://resplendent-gnome-14e531.netlify.app/getting-started-architecture">key components</a> of ExecuTorch and its architecture, <a href="https://resplendent-gnome-14e531.netlify.app/intro-how-it-works">how it works</a>, and explore <a href="/executorch">documentation page</a> and <a href="https://resplendent-gnome-14e531.netlify.app/#tutorials-and-examples:~:text=Getting%20Started-,Tutorials%20and%20Examples,-Docs">detailed tutorials</a>.</p>
+        <p>We are excited to see how the community leverages our all new on-device AI stack. You can learn more about  <a href="https://pytorch.org/executorch/stable/getting-started-architecture">key components</a> of ExecuTorch and its architecture, <a href="https://pytorch.org/executorch/stable/intro-how-it-works">how it works</a>, and explore <a href="/executorch">documentation page</a> and <a href="https://pytorch.org/executorch/stable/#tutorials-and-examples:~:text=Getting%20Started-,Tutorials%20and%20Examples,-Docs">detailed tutorials</a>.</p>
 
         <p>
           <a href="/executorch" class="btn btn-lg with-right-arrow">