Apply suggestions from code review

Co-authored-by: Paco Aranda <[email protected]>

argilla/docs/reference/argilla-server/telemetry.md

@@ -48,20 +48,6 @@ The following usage and error information is reported:
 * The type of deployment: `quickstart` or `server`
 * The dockerized deployment flag: `True` or `False`
 
-This is performed by registering information from the following API methods:
-
-* `GET /api/me`
-* `POST /api/dataset/{name}/{task}:bulk`
-* `POST /api/users`
-* Raised server API errors
-
-Additionally, we report the usage of integration for our Python library:
-
-* `ArgillaTrainer` framework usage and NLP task-type.
-
-We also report the usage of our tutorials by `tutorial_running`:
-
-* The tutorial usage count and its name.
 
 For transparency, you can inspect the source code where this is performed [here](https://github.com/argilla-io/argilla/blob/main/src/argilla/utils/telemetry.py).