diff --git a/content/docs/machine-learning/creating-a-new-kubeflow-notebook.md b/content/docs/machine-learning/creating-a-new-kubeflow-notebook.md
index 4ccf812..8ac5f1c 100644
--- a/content/docs/machine-learning/creating-a-new-kubeflow-notebook.md
+++ b/content/docs/machine-learning/creating-a-new-kubeflow-notebook.md
@@ -12,7 +12,7 @@ To create a new Kubeflow notebook, you will need to provide a name, select a dev
 
 ## Notebook options
 
-:::tipNamespaces
+:::tip Namespaces
 Always check on the top left corner of the KubeFlow Dashboard that you are creating resources in the correct namespace.
 :::
 
@@ -30,7 +30,7 @@ For the notebook development environment, choose from the following options:
 
 - **[RStudio](https://posit.co/products/open-source/rstudio/)**, the first party development IDE and ecosystem for the R language. If you’re someone who prefers R over Python, this is the choice for you!
 
-:::tipCustom environments
+:::tip Custom environments
 If you can’t find what you’re looking for or are the type of person who brings their own IDE, you’re also welcome to pull a custom container. Please ensure they meet the Kubeflow container image requirements [listed here](https://www.kubeflow.org/docs/components/notebooks/container-images/#image-requirements).
 :::
 
@@ -45,7 +45,7 @@ When creating a new notebook, you must specify the resources you want it to use
 
 ### GPUs
 
-:::warningGPU support coming soon
+:::warning GPU support coming soon
 Please leave all GPU-related fields on the notebook setup page blank to prevent issues with your notebook server being created. Kubeflow will also warn you if you try to add a GPU.
 :::
 
@@ -59,7 +59,7 @@ GPU support is under development and this documentation will be updated to refle
 
 You can specify a workspace volume (new or existing) to be mounted as a PVC Volume on your home directory.
 
-:::tipPersistent data volumes
+:::tip Persistent data volumes
 A StatefulSet assigns unique identifiers to each pod and allows you to easily store and track data in a persistent data volume. However, an important thing to remember is that this is a completely separate Kubernetes entity and has an independent lifecycle from the cluster's pods.
 
 The persistent data volume is connected to a particular pod by a Persistent Volume Claim (PVC). These allow a user to consume abstract storage resources. In the case that you delete the notebook server, the data still persists in the persistent data volume assigned to that pod and if a new notebook server is created, it would be able to access the same data from the same persistent data volume.
@@ -100,4 +100,4 @@ Once your notebook server instance is running, you will be able to connect to it
 
 ## The Notebook ServiceAccount
 
-When you create a new notebook Kubeflow by default assigns that Notebook pod the `default-editor` Kubernetes ServiceAccount. This is a highly privileged account and this also allows you to run `kubectl` inside the notebook server without providing additional authentication.
\ No newline at end of file
+When you create a new notebook Kubeflow by default assigns that Notebook pod the `default-editor` Kubernetes ServiceAccount. This is a highly privileged account and this also allows you to run `kubectl` inside the notebook server without providing additional authentication.