diff --git a/nvidia/cuda-x-data-science/README.md b/nvidia/cuda-x-data-science/README.md
index 62338be..8d521e1 100644
--- a/nvidia/cuda-x-data-science/README.md
+++ b/nvidia/cuda-x-data-science/README.md
@@ -74,7 +74,7 @@ The other goes over an example of machine learning algorithms including UMAP and
   ```
 If you are remotely accessing your DGX-Spark then make sure to forward the necesary port to access the notebook in your local browser. Use the below   instruction for port fowarding
 ```bash
-   ssh -N -L YYYY:localhost:XXXX username@remote_host 
+  ssh -N -L YYYY:localhost:XXXX username@remote_host 
 ```
 - `YYYY`: The local port you want to use (e.g. 8888)
 - `XXXX`: The port you specified when starting Jupyter Notebook on the remote machine (e.g. 8888)
diff --git a/nvidia/flux-finetuning/README.md b/nvidia/flux-finetuning/README.md
index 9ec35fb..28350c5 100644
--- a/nvidia/flux-finetuning/README.md
+++ b/nvidia/flux-finetuning/README.md
@@ -46,7 +46,7 @@ The setup includes:
 * **Risks**:
   * Docker permission issues may require user group changes and session restart
   * The recipe would require hyperparameter tuning and a high-quality dataset for the best results
-**Rollback**: Stop and remove Docker containers, delete downloaded models if needed.
+* **Rollback**: Stop and remove Docker containers, delete downloaded models if needed.
 
 ## Instructions
 
diff --git a/nvidia/jax/README.md b/nvidia/jax/README.md
index 90e38b0..62cef41 100644
--- a/nvidia/jax/README.md
+++ b/nvidia/jax/README.md
@@ -64,7 +64,7 @@ All required assets can be found [here on GitHub](https://github.com/NVIDIA/dgx-
 * **Risks:** 
   * Package dependency conflicts in Python environment
   * Performance validation may require architecture-specific optimizations
-**Rollback:** Container environments provide isolation; remove containers and restart to reset state.
+* **Rollback:** Container environments provide isolation; remove containers and restart to reset state.
 
 ## Instructions
 
diff --git a/nvidia/ollama/README.md b/nvidia/ollama/README.md
index 917487c..dfd2939 100644
--- a/nvidia/ollama/README.md
+++ b/nvidia/ollama/README.md
@@ -113,10 +113,10 @@ Ollama server running on port 11434. This configuration runs on your local machi
 
 1. Click the "Add New" button
 2. Fill out the form with these values:
-   - **Name**: `Ollama Server`
-   - **Port**: `11434`
-   - **Auto open in browser**: Leave unchecked (this is an API, not a web interface)
-   - **Start Script**: Leave empty
+  - **Name**: `Ollama Server`
+  - **Port**: `11434`
+  - **Auto open in browser**: Leave unchecked (this is an API, not a web interface)
+  - **Start Script**: Leave empty
 3. Click "Add"
 
 The new Ollama Server entry should now appear in your NVIDIA Sync custom apps list.