diff --git a/docs/faq.md b/docs/faq.md
index 8609f206..c49f2227 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -381,7 +381,7 @@ After thirty minutes, it remains unchanged.
 Yes! ClearML allows you to control automatic logging for `stdout`, `stderr`, and frameworks when initializing a Task
 by calling the [`Task.init`](references/sdk/task.md#taskinit) method. 
 
-To control a Task's framework logging, use the `auto_connect_framworks`. Turn off all automatic logging by setting the 
+To control a Task's framework logging, use the `auto_connect_framworks` parameter. Turn off all automatic logging by setting the 
 parameter to `False`. For finer grained control of logged frameworks, input a dictionary, with framework-boolean pairs. 
 
 For example: 
diff --git a/docs/getting_started/ds/ds_first_steps.md b/docs/getting_started/ds/ds_first_steps.md
index c7f1039d..e5c77aea 100644
--- a/docs/getting_started/ds/ds_first_steps.md
+++ b/docs/getting_started/ds/ds_first_steps.md
@@ -26,14 +26,14 @@ In ClearML, experiments are organized as [Tasks](../../fundamentals/task).
 ClearML will automatically log your experiment and code, including outputs and parameters from popular ML frameworks, 
 once you integrate the ClearML [SDK](../../clearml_sdk.md) with your code. To control what ClearML automatically logs, see this [FAQ](../../faq.md#controlling_logging). 
 
-At the beginning of your code, import the `clearml` package 
+At the beginning of your code, import the `clearml` package: 
 
 ```python
 from clearml import Task
 ```
 
 :::note Full Automatic Logging
-To ensure full automatic logging it is recommended to import the ClearML package at the top of your entry script.
+To ensure full automatic logging, it is recommended to import the ClearML package at the top of your entry script.
 :::
 
 Then initialize the Task object in your `main()` function, or the beginning of the script.