Added references

content/modules/ROOT/pages/07_installation.adoc

@@ -21,7 +21,7 @@ Clone (download) the Git repository containing the AI Accelerator, since we will
 
 TIP: If you can't or prefer not to run the installation from your local machine (such as in a locked down corporate environment), you can also use the Bastion host instead. This is a Linux virtual machine running on AWS, the SSH login details are provided in the provisioning email you received from demo.redhat.com. Just be aware that the Basion host is deprovisioned when the cluster is deleted, so be sure to git commit any changes frequently.
 
-[start=2]
+[start=4]
 . Git clone the following repository to your local machine. If you're using a fork, then change the repository URL in the command below to match yours:
 [.console-input]
 [source,adoc]
@@ -33,7 +33,7 @@ git clone https://github.com/redhat-ai-services/ai-accelerator.git
 
 Carefully follow the instructions found in https://github.com/redhat-ai-services/ai-accelerator/blob/main/documentation/installation.md[`documentation/installation.md`], with the following specifics:
 
-[start=3]
+[start=5]
 . Use the _**Demo**_ cluster credentials when logging into OpenShift
 . Select number 3 when prompted: 
 [.bordershadow]
@@ -44,7 +44,7 @@ This will install all the applications in the bootstrap script and also provide
 [.bordershadow]
 image::Bootstrap_argo_url.png[]
 
-[start=4]
+[start=7]
 . Log into the Argo CD link with the Openshift credentials and wait till everything syncs successfully.
 [.bordershadow]
 image::Argo_home_screen.png[]

content/modules/ROOT/pages/20_ai-accelerator_review.adoc

@@ -1,10 +1,10 @@
-# AI-Accelerator Project
+# AI Accelerator Project
 
-The AI-accelerator project is an automated way to deploy RHOAI, relevent operators, and examples to a cluster.
+The AI Accelerator project is an automated way to deploy RHOAI, relevent operators, and examples to a cluster.
 
 Navigate to the ai-accelerator github project: https://github.com/redhat-ai-services/ai-accelerator
 
-5. The ai-accelerator project installs Open Shift GitOps (ArgoCD) first, then uses ArgoCD to install RHOAI and the related operators. It also deploys examples such as inference services, a workbench, and pipelines.
+The ai-accelerator project installs Open Shift GitOps (ArgoCD) first, then uses ArgoCD to install RHOAI and the related operators. It also deploys examples such as inference services, a workbench, and pipelines.
 
 * The list of operators it can install are in the https://github.com/redhat-ai-services/ai-accelerator/tree/main/components/operators[operators] folder.
 *  Examples of model serving, workbench, and pipelines can be found in the https://github.com/redhat-ai-services/ai-accelerator/tree/main/tenants[tenants] folder.
@@ -120,3 +120,10 @@ If you are using a disconnected environment, you will need to first setup:
 - the registry for the images
 - the git repositories, proxies and credentials
 ====
+
+## References
+
+* Red Hat Blog: https://www.redhat.com/en/blog/your-guide-to-continuous-delivery-with-openshift-gitops-and-kustomize[Your Guide to Continuous Delivery with OpenShift GitOps and Kustomize] - a good article explaining more GitOps concepts
+* GitHub: https://github.com/gnunn-gitops/standards/blob/master/folders.md[GitOps Folder Structure] - the original inspiration for the folder structure in the AI Accelerator project
+* Red Hat Blog: https://www.redhat.com/en/blog/enterprise-mlops-reference-design[Enterprise MLOps Reference Design] - a conceptual reference design for performing Machine Learning Operations (MLOps)
+* Topic: https://www.redhat.com/en/topics/devops/what-is-gitops[What is GitOps?] - 7-minute read on the topic of GitOps