fix: minor

Author: santiagxf

articles/machine-learning/how-to-deploy-mlflow-models.md

@@ -83,7 +83,7 @@ MLflow includes built-in deployment tools that model developers can use to test
 | Tensor input formatted as in TF Serving’s API | **✓** |  |
 
 > [!NOTE]
-> - <sup>1</sup> We suggest you to explore batch inference for processing files.
+> - <sup>1</sup> We suggest you to explore batch inference for processing files. See [Deploy MLflow models to Batch Endpoints](how-to-mlflow-batch.md).
 
 ### Input structure
 

articles/machine-learning/toc.yml

@@ -636,13 +636,13 @@
               href: how-to-deploy-mlflow-models.md
             - name: Using MLflow models for no-code deployment
               href: how-to-log-mlflow-models.md
-            - name: Online Inference
+            - name: Online inference
               items:
                 - name: Deploy MLflow models to Online Endpoints
                   href: how-to-deploy-mlflow-models-online-endpoints.md
                 - name: Progressive rollout of MLflow models
                   href: how-to-deploy-mlflow-models-online-progressive.md 
-            - name: Batch Inference
+            - name: Batch inference
               items:
                 - name: Deploy MLflow models to Batch Endpoints
                   href: how-to-mlflow-batch.md