Connect to RHOAI Workbench Kernel from local VS Code

Author: Milstein

docs/openshift-ai/index.md

@@ -38,6 +38,8 @@ the list below.
 
 - [Configure a Jupyter Notebook to use GPUs for AI/ML modeling](other-projects/configure-jupyter-notebook-use-gpus-aiml-modeling.md)
 
+- [Connect to RHOAI Workbench Kernel from local VS Code](other-projects/connect-vscode-to-rhoai-wb.md)
+
 ## Predictive & Generative AI on NERC
 
 - [Predictive & Generative AI (LLM & RAG) in Action](other-projects/predictive-and-generative-AI.md)

docs/openshift-ai/other-projects/LLM-chat.md

@@ -8,7 +8,7 @@ the GGML project, a general-purpose tensor library.
 The library includes command-line tools as well as a server featuring a simple
 web interface.
 
-## Standalone Deployment of `llama.cpp` Model Server
+## A Standalone Deployment of `llama.cpp` Model Server
 
 -   **Prerequisites**:
 

docs/other-tools/mlflow/mlflow-server-setup.md

@@ -21,7 +21,7 @@ for reproducing and understanding the results of a machine learning experiment.
 To manage and store these artifacts in a scalable, durable, and secure manner, an
 S3 bucket is required.
 
-## Standalone Deployment of `MLflow` Server
+## A Standalone Deployment of `MLflow` Server
 
 -   **Prerequisites**:
 
@@ -254,5 +254,6 @@ as shown below:
     changes to specific users.
 
 For more details, refer to this [documentation](https://github.com/nerc-project/llm-on-nerc/blob/main/mlflow/README.md).
+You can also install MLflow using a Helm chart, as explained [here](https://github.com/nerc-project/llm-on-nerc/blob/main/mlflow/README.md#using-helm-to-install).
 
 ---

mkdocs.yaml

@@ -138,6 +138,7 @@ nav:
           - Other Example Projects:
                 - How to access, download, and analyze data for S3 usage: openshift-ai/other-projects/how-access-s3-data-then-download-and-analyze-it.md
                 - Configure a Jupyter Notebook to use GPUs for AI/ML modeling: openshift-ai/other-projects/configure-jupyter-notebook-use-gpus-aiml-modeling.md
+                - Connect to RHOAI Workbench Kernel from local VS Code: openshift-ai/other-projects/connect-vscode-to-rhoai-wb.md
                 - Predictive & Generative AI on NERC:
                     - Predictive & Generative AI (LLM & RAG) in Action: openshift-ai/other-projects/predictive-and-generative-AI.md
                     - Predictive AI tutorial: