Fix links

Signed-off-by: Rafael Vasquez <[email protected]>

Author: rafvasq

docs/lab-1.5/README.md

@@ -43,4 +43,4 @@ You may notice that your answer is slighty different then the screen shot above.
 
 ## Conclusion
 
-**Congratulations!** Now you have Open-WebUI running and it's configured to work with `granite3.1-dense` and `ollama`. Move on to [Lab 2](/docs/lab-2/README.md) and have a chat with your model!
+**Congratulations!** Now you have Open-WebUI running and it's configured to work with `granite3.1-dense` and `ollama`. Move on to [Lab 2](https://ibm.github.io/opensource-ai-workshop/lab-2/) and have a chat with your model!

docs/lab-1/README.md

@@ -47,4 +47,4 @@ You may notice that your answer is slighty different then the screen shot above.
 
 ## Conclusion
 
-**Congratulations!** Now you have AnythingLLM running and it's configured to work with `granite3.1-dense` and `ollama`. Move on to [Lab 2](/docs/lab-2/README.md) and have a chat with your model!
+**Congratulations!** Now you have AnythingLLM running and it's configured to work with `granite3.1-dense` and `ollama`. Move on to [Lab 2](https://ibm.github.io/opensource-ai-workshop/lab-2/) and have a chat with your model!

docs/lab-2/README.md

@@ -104,4 +104,4 @@ in Batman's extensive history.
 
 Spend as much time as you want asking your LLM about anything about any topic and exploring how you can alter its output to provide you with more interesting or satisfying responses.
 
-When you feel acquainted with your model, move on to [Lab 3](/docs/lab-3/README.md) to learn about Prompt Engineering.
+When you are acquainted with your model, move on to [Lab 3](https://ibm.github.io/opensource-ai-workshop/lab-3/) to learn about Prompt Engineering.

docs/lab-3/README.md

@@ -103,4 +103,4 @@ So much better! By providing more context and more insight into what you are exp
 
 ## Conclusion
 
-Now that you know the basics of prompt engineering and simple techniques you can use to level-up your prompts, let's move on to [Lab 4](/docs/lab-4/README.md) and apply what you've learned with some exercises.
+Now that you know the basics of prompt engineering and simple techniques you can use to level-up your prompts, let's move on to [Lab 4](https://ibm.github.io/opensource-ai-workshop/lab-4/) and apply what you've learned with some exercises.

docs/lab-4/README.md

@@ -212,4 +212,4 @@ The best part of this prompt is that you can take the output and extend or short
 
 ## Conclusion
 
-Well done! By completing these exercises, you're well on your way to being a prompt expert. In [Lab 5](/docs/lab-5/README.md), we'll move towards code-generation and learn how to use a local coding assistant.
+Well done! By completing these exercises, you're well on your way to being a prompt expert. In [Lab 5](https://ibm.github.io/opensource-ai-workshop/lab-5/), we'll move towards code-generation and learn how to use a local coding assistant.

docs/lab-5/README.md

@@ -79,4 +79,4 @@ Additionally, if you open a file for editing you should see possible tab complet
 
 ## Conclusion
 
-With your AI coding assistant set up, move on to [Lab 6](/docs/lab-6/README.md) and actually use it!
+With your AI coding assistant now set up, move on to [Lab 6](https://ibm.github.io/opensource-ai-workshop/lab-6/) and actually use it!

docs/lab-6/README.md

@@ -111,4 +111,4 @@ Continue also provides the ability to automatically add comments to code. Try it
 
 ## Conclusion
 
-This lab was all about using our local, open-source AI co-pilot to write complex code in Python. By combining Continue and Granite-Code we were able to generate code, the model to explain functions, write tests, and add comments to our code.
+This lab was all about using our local, open-source AI co-pilot to write complex code in Python. By combining Continue and Granite-Code, we were able to generate code, explain functions, write tests, and add comments to our code!

docs/pre-work/README.md

@@ -96,6 +96,6 @@ pip install open-webui
 open-webui serve
 ```
 
-Now that you have all of the tools you need, let's start building our local AI co-pilot.
+## Conclusion
 
-**Head over to [Lab 1](/docs/lab-1/README.md) if you have AnythingLLM or [Lab 1.5](/docs/lab-1.5/README.md) for Open-WebUI.**
+Now that you have all of the tools you need, head over to [Lab 1](https://ibm.github.io/opensource-ai-workshop/lab-1/) if you have AnythingLLM or [Lab 1.5](https://ibm.github.io/opensource-ai-workshop/lab-1.5/) for Open-WebUI.