updated RAG .css layout

Author: Zach Lasiuk

assets/css/demo.css

@@ -261,8 +261,8 @@
 }
 .chatbot-response-text * {
     max-width: 98%;
-    margin-bottom:0;
-    line-height: 1.2;
+    margin-bottom: 8px;
+    line-height: 1.3;
 }
 
 

content/learning-paths/servers-and-cloud-computing/gh-runners/e2e-workflow.md

@@ -162,6 +162,6 @@ Using what you have learned, navigate to the **Train, Test and Deploy** workflow
 
 The diagram below shows the end-to-end workflow, the relationship between the steps, and the time required to run each step:
 
-![#e2e-workflow](/images/e2e-workflow.png)
+![#e2e-workflow](images/e2e-workflow.png)
 
 You have run an MLOps workflow using GitHub Actions with Arm-hosted runners for managing all of the steps in your ML application's lifecycle.