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docs/fundamentals/agents_and_queues.md
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@ -99,7 +99,7 @@ In its default mode, a ClearML Agent executes a single task at a time, since tra
available to them. Some tasks are mostly idling and require less computation power, such as controller tasks (e.g.
a pipeline controller) or service tasks (e.g. cleanup service).
This is where the `services-modes` comes into play. An agent running in `services-mode` will let multiple tasks execute
This is where the `services-mode` comes into play. An agent running in `services-mode` will let multiple tasks execute
in parallel (each task will register itself as a sub-agent, visible in the [Workers & Queues](../webapp/webapp_workers_queues.md) tab in the UI).
This mode is intended for running maintenance tasks. Some suitable tasks include:

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docs/fundamentals/hyperparameters.md
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@ -86,7 +86,7 @@ method. The `set_parameters_as_dict` method updates parameters while the `set_pa
ClearML does not automatically track changes to explicitly set parameters.
### User Properties
User properties do not impact tasks execution and can be modified at any stage. They are convenient for setting
User properties do not impact task execution and can be modified at any stage. They are convenient for setting
helpful values which are displayed in the [experiment table](../webapp/webapp_exp_table.md) (i.e. customize columns),
making it easier to search / filter experiments. Add user properties to an experiment with the
[`Task.set_user_properties`](../references/sdk/task.md#set_user_properties) method.

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docs/getting_started/ds/best_practices.md
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@ -46,7 +46,7 @@ that we need.
- [ClearML SDK](../../clearml_sdk/clearml_sdk.md) ensures that all the metrics, parameters and Models are automatically logged and can later be
accessed, [compared](../../webapp/webapp_exp_comparing.md) and [tracked](../../webapp/webapp_exp_track_visual.md).
- [ClearML Agent](../../clearml_agent.md) does the heavy lifting. It reproduces the execution environment, clones your code,
applies code patches, manages parameters (including overriding them on the fly), executes the code and queues multiple tasks
applies code patches, manages parameters (including overriding them on the fly), executes the code, and queues multiple tasks.
It can even [build](../../clearml_agent.md#exporting-a-task-into-a-standalone-docker-container) the docker container for you!
- [ClearML Pipelines](../../pipelines/pipelines.md) ensure that steps run in the same order,
programmatically chaining tasks together, while giving an overview of the execution pipeline's status.