Update README.md

README.md

@@ -12,4 +12,17 @@ tags:
 - rhelai
 - instructlab
 - granite
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+---
+# RHEL AI Model Training Scenario: A Fictional Hotel Group
+
+A fictional example for the [_Training Large Language Models with Red{nbsp}Hat Enterprise Linux AI (AI0005L)_ and _Deploying Models with Red{nbsp}Hat Enterprise Linux AI (AI0006L)_ Red Hat Training lessons](https://rol.redhat.com/rol/app/).
+These lessons present students with a scenario where a hotel group must train their own LLM, aligned with their business needs, by using RHEL AI.
+
+* The taxonomy with skills and knowledge is at https://github.com/RedHatTraining/AI296-taxonomy-hotels. We cannot store thae the taxonomy in a monorepo because InstructLab needs each taxonomy to have its own dedicated repository.
+
+* Documents that support the taxonomy knowledge are stored in the `business_docs` directory.
+
+* The `results` directory contain the intermediate outputs of the SDG phase to save time to the student.
+With the provided taxonomy, the SDG phase takes ~ 2 hours in a `g6e.12xlarge` AWS instance.
+
+* The train model is stored in this Hugging Face repository.