fixes

Author: alexwolfmsft

docs/ai/quickstarts/quickstart-openai-summarize-text.md

@@ -123,11 +123,11 @@ The app uses the [`Microsoft.Extensions.AI`](https://www.nuget.org/packages/Micr
 
 1. Read the `benefits.md` file content and use it to create a `prompt` for model. The prompt instructs the model to summarize the file text content.
 
-    :::code language="csharp" source="snippets/prompt-completion/openai/program.cs" range="13-18":::
+    :::code language="csharp" source="snippets/prompt-completion/openai/program.cs" range="13-19":::
 
 1. Call the `InvokePromptAsync` function to send the `prompt` to the model to generate a response.
 
-    :::code language="csharp" source="snippets/prompt-completion/openai/program.cs" range="20-22":::
+    :::code language="csharp" source="snippets/prompt-completion/openai/program.cs" range="21-23":::
 
 1. Use the `dotnet run` command to run the app:
 

docs/ai/quickstarts/snippets/prompt-completion/azure-openai/Program.cs

@@ -12,10 +12,11 @@
         .AsChatClient(deployment);
 
 // Create and print out the prompt
-string prompt = 
-    $"""Please summarize the the following text in 20 words or less:
-    {File.ReadAllText("benefits.md")}""";
-    
+string prompt = $"""
+    summarize the the following text in 20 words or less:
+    {File.ReadAllText("benefits.md")}
+    """;
+
 Console.WriteLine($"user >>> {prompt}");
 
 // Submit the prompt and print out the response

docs/ai/quickstarts/snippets/prompt-completion/openai/Program.cs

@@ -11,9 +11,10 @@
     new OpenAIClient(key).AsChatClient(model);
 
 // Create and print out the prompt
-string prompt = 
-    $"""Please summarize the the following text in 20 words or less:
-    {File.ReadAllText("benefits.md")}""";
+string prompt = $"""
+    summarize the the following text in 20 words or less:
+    {File.ReadAllText("benefits.md")}
+    """;
 
 Console.WriteLine($"user >>> {prompt}");
 

docs/azure/includes/semantic-kernel.md

@@ -1,2 +1,2 @@
 > [!NOTE]
-> You can also use [Semantic Kernel](/semantic-kernel) to accomplish the tasks in this article. Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase.
+> You can also use [Semantic Kernel](/semantic-kernel) to accomplish the tasks in this article. Semantic Kernel is a lightweight, open-source SDK that lets you build AI agents and integrate the latest AI models into your .NET apps.