Added Skeleton Scenario 6 - Instruct Lab (#26)

* Updates to docs

* Updates to docs

* Updates to docs

* Updates to scanario 5 docs

* Updates to scanario docs

* Updates to scanario docs

* Updates to scanario docs

data/hackathon/scenario6.mdx

@@ -0,0 +1,21 @@
+---
+title: Empower Developers and Business users to tune Large Language Models 
+exercise: 6
+date: '2024-06-25'
+tags: ['openshift','ai','kubernetes']
+draft: false
+authors: ['default']
+summary: "Let's show Red Hat will enable non-data-science users to `instruction-tune` AI models, using some simple RHEL-AI and Instruct Lab tooling"
+---
+
+The ACME Financial Services team have a large development team, but have struggled to recruit experienced data scientists to
+You challenge is to 
+
+## 5.1 - 
+Documentation you may find helpful is:
+- https://docs.redhat.com/en/documentation/openshift_container_platform/4.15/html/building_applications/creating-applications#odc-deploying-container-image_odc-creating-applications-using-developer-perspective
+- https://docs.openshift.com/container-platform/3.11/dev_guide/environment_variables.html
+
+# HINTS
+- [5.1.2]: The actual web app yaml (already with the configuration to talk to the model server) is available here: https://raw.githubusercontent.com/rh-aiservices-bu/mad_m6_workshop/main/deployment/intelligent_application_deployment.yaml
+