small edits

docs/clearml_serving/clearml_serving_tutorial.md

@@ -7,7 +7,7 @@ In this tutorial, you will go over the model lifecycle -- from training to servi
 * Serving the model using **ClearML Serving**  
 * Spinning the inference container
 
-The tutorial also covers the following`clearml-serving` features: 
+The tutorial also covers the following `clearml-serving` features: 
 * Automatic model deployment 
 * Canary endpoints
 * Model performance monitoring 

docs/deploying_clearml/enterprise_deploy/change_artifact_links.md

@@ -30,7 +30,7 @@ script changes the values in the databases, and can't be undone.
 
 1. Access the `apiserver` Docker container:  
 
-   * In `docker-compose:`
+   * In `docker-compose`:
     
       ```commandline
       sudo docker exec -it allegro-apiserver /bin/bash

docs/getting_started/data_management.md

@@ -49,7 +49,7 @@ Your goal is to create an immutable copy of the data to be used by further steps
 The second step is to preprocess the data. First access the data, then modify it,
 and lastly create a new version of the data.
 
-1. Create a task for you data preprocessing (not required):
+1. Create a task for your data preprocessing (not required):
    
    ```python
    from clearml import Task, Dataset