Address some runtime-overview.md comments (#646)

Summary:
Pull Request resolved: #646

Address some post-land comments on D49852127.

Reviewed By: mergennachin

Differential Revision: D49973657

fbshipit-source-id: 588ec11eacbfee8610d617e1019e00fb95d2e736

Author: dbort

docs/source/_static/img/runtime-overview-high-level.png

@@ -5,13 +5,14 @@ ExecuTorch program files on edge devices like smartphones, wearables, and
 embedded devices. The code for the main execution API is under
 [`executorch/runtime/executor/`](https://github.com/pytorch/executorch/tree/main/runtime/executor).
 
-Before reading this document we recommend that you read [How Does ExecuTorch
-Work](intro-how-it-works.md).
+Before reading this document we recommend that you read [How ExecuTorch
+Works](intro-how-it-works.md).
 
 At the highest level, the ExecuTorch runtime is responsible for:
 
 * Loading binary `.pte` program files that were generated by the
-  `to_executorch()` step of the model-lowering process.
+  [`to_executorch()`](https://deploy-preview-646--resplendent-gnome-14e531.netlify.app/tutorials/export-to-executorch-tutorial)
+  step of the model-lowering process.
 * Executing the series of instructions that implement a lowered model.
 
 Note that as of late 2023, the ExecuTorch runtime only supports model inference,