Fix Markdown syntax issues

Author: github-actions[bot]

5_AI_Initial_Questions.md

@@ -28,7 +28,6 @@ Last updated: 2025-11-03
 | **Budget & Timeline**    | What’s your budget and timeline for this initiative?                                | `We have a 3-month window and a $50K budget.`                                      | Helps prioritize scope and feasibility.|
 | **Success Metrics**      | How will you measure the success of this AI solution?                               | `Reduction in ticket resolution time by 30%.`                                      | Aligns technical goals with business KPIs.|
 
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README.md

@@ -468,7 +468,7 @@ gpt-rag-resource-group: resource not found: 0 resource groups with prefix or suf
 > If `main.parameters.json` contains `"location": "westus2"`, make sure your environment has `AZURE_LOCATION=westus2`.
 
 > [!NOTE]
-> A `golden dataset` for RAG is your trusted, `curated set of documents or files that the system retrieves from when answering questions`. It’s a clean, accurate, and `representative subset of all possible data free of noise and errors`, so the model always pulls reliable context. Is a `subset of files, for example, and known Q&A pairs chosen from the larger data source.` These are the “benchmark” `questions where the correct answers are already known`, so they can be `used later to measure system accuracy and performance`. Other `expert users are free to ask additional questions during testing, but those will still pull context from the same curated files in the golden dataset (subset datasource) `. In short, it’s the trusted evaluation set for your proof of concept for example.
+> A `golden dataset` for RAG is your trusted, `curated set of documents or files that the system retrieves from when answering questions`. It’s a clean, accurate, and `representative subset of all possible data free of noise and errors`, so the model always pulls reliable context. Is a `subset of files, for example, and known Q&A pairs chosen from the larger data source.` These are the “benchmark” `questions where the correct answers are already known`, so they can be `used later to measure system accuracy and performance`. Other `expert users are free to ask additional questions during testing, but those will still pull context from the same curated files in the golden dataset (subset datasource)`. In short, it’s the trusted evaluation set for your proof of concept for example.
 
 <img width="411" height="243" alt="Untitled Diagram drawio" src="https://github.com/user-attachments/assets/40682ec2-77e4-4413-88e5-d343f036f084" />