Update lab content instructions

content/labs/lab-1-visualization-in-transformerlab.md

@@ -175,21 +175,6 @@ In general:
 
 This is useful because it shows us that model output is not magic or certainty. Each generated token is chosen from a probability distribution over many possible next tokens.
 
-### Explore: Try Different Prompt Styles
-
-To make the confidence view more interesting, compare:
-
-1. A common phrase such as `The quick brown fox`
-2. A factual question
-3. A short cybersecurity prompt
-
-Notice where the model appears highly certain and where it becomes less stable. Small local models often produce text that sounds very confident even when the underlying prediction distribution is more fragile than it first appears.
-
-<div class="lab-screenshot-placeholder">
-  <strong>Screenshot Placeholder</strong>
-  Confidence heatmap and hover tooltip view.
-</div>
-
 ---
 
 ## Conclusion

content/labs/lab-4-oi-prompting.md

@@ -121,16 +121,6 @@ Locate, pull, and run **Qwen3.5 4B** using the **Open WebUI**. By defualt, Ope
    <figcaption>Successful inference – the model returns a coherent answer.</figcaption>
    </figure>
 
-9. **Download Gemma3n e2B**
-
-- While we're downloading models, let us download one more. You can either repeat the process from the previous steps to find and download **Gemma3n e2B**, or just use the following model tag to download the model via the Open WebUI search bar:
-
-```bash
-ollama pull gemma3n:e2b
-```
-
-Google has designed gemma 3n models designed for efficient execution on resource constrained devices such as laptops, tablets, phones, or Nvidia 2080 Super GPUs.
-
 ---
 
 ## Objective 3: Inference Settings
@@ -220,7 +210,7 @@ Feel free to continue to explore with other topics or images. Note how each time
 ### Explore: Prompt Engineering & System Prompting
 
 <div class="lab-callout lab-callout--warning">
-  <strong>Warning:</strong> As you explore chat via Open WebUI, ensure you turn  <code>think (Ollama)</code> to OFF. <strong>Qwen3.5 4B</strong> is likely to enter an infinite thinking loop for these tasks otherwise, which will require a VM reboot.
+  <strong>Warning:</strong> As you explore chat via Open WebUI, ensure you turn  <code>think (Ollama)</code> to <strong>OFF</strong>. <strong>Qwen3.5 4B</strong> is likely to enter an infinite thinking loop for these tasks otherwise, which will require a VM reboot.
 
 <br><br>
 

content/labs/lab-7-dataset-generation-and-fine-tuning.md

@@ -26,7 +26,7 @@ To start this lab, one web service has been preconfigured:
 
 - Unsloth - {{service-url:unsloth}}
 
-You'll need to install Kiln from the following URL - https://github.com/Kiln-AI/Kiln/releases/tag/v0.18.1
+Before starting, install Kiln: <a class="lab-download-pill" href="https://github.com/Kiln-AI/Kiln/releases/tag/v0.18.1" target="_blank" rel="noreferrer" aria-label="Download Kiln AI">Kiln AI</a>.
 
 ## Objective 1 Explore: Public Datasets
 
@@ -58,7 +58,7 @@ Let's at least quickly touch on option 6, **Public Datasets**. While they may va
 
 #### Explore a dataset (GSM8K)
 
-Navigate to [GSM8K](https://huggingface.co/datasets/openai/gsm8k). Much like how models have **model cards**, datasets have **dataset cards**. These perform a similar job, providing:
+Navigate to the GSM8K dataset page on Hugging Face: <a class="lab-open-pill" href="https://huggingface.co/datasets/openai/gsm8k" target="_blank" rel="noreferrer">GSM8K dataset</a>. Much like models have **model cards**, datasets have **dataset cards**. These perform a similar job, providing:
 
 1. Tags
 2. Example data & a _Data Studio_ button for interacting with the dataset on **HuggingFace** directly.
@@ -123,9 +123,7 @@ If you can, I strongly encourage you to try and find ready made, or easily massa
 
 ### Execute: Install & Launch Kiln AI
 
-### 1. Install & Launch Kiln AI
-
-If you haven't yet, download [Kiln AI](https://github.com/Kiln-AI/Kiln/releases/tag/v0.18.1) and run the installer for your OS.
+If you haven't yet, <a class="lab-download-pill" href="https://github.com/Kiln-AI/Kiln/releases/tag/v0.18.1" target="_blank" rel="noreferrer" aria-label="Download Kiln AI">Kiln AI</a> and run the installer for your OS.
 
 <div class="lab-callout lab-callout--info">
   <strong>Tip:</strong> These steps were designed for <strong>Kiln v0.18</strong>. While compatible with newer versions, v0.18 features a polished, simplified UI ideal for this lab. Note that Kiln undergoes active development with frequent UI changes across versions.