diff --git a/docs/faq.md b/docs/faq.md
index ebe3e5d2..6fdd65e7 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -283,10 +283,12 @@ to reproduce. You can see uncommitted changes in the ClearML Web UI, in the EXEC
 
 **I do not use argparse for hyperparameters. Do you have a solution?** <a id="dont-want-argparser"></a>
 
-Yes! ClearML also automatically captures and tracks command line parameters created using [click](https://click.palletsprojects.com/), 
+Yes! ClearML provides multiple ways to configure your task and track your parameters! 
+
+In addition to argparse, ClearML also automatically captures and tracks command line parameters created using [click](https://click.palletsprojects.com/), 
 [Python Fire](https://github.com/google/python-fire), and/or [LightningCLI](https://pytorch-lightning.readthedocs.io/en/stable/api/pytorch_lightning.utilities.cli.html).
 
-Additionally, ClearML supports connecting hyperparameter dictionaries to experiments, using the [Task.connect](references/sdk/task.md#connect) method.
+ClearML also supports tracking code-level configuration dictionaries using the [Task.connect](references/sdk/task.md#connect) method.
 
 For example, the code below connects hyperparameters (`learning_rate`, `batch_size`, `display_step`,
 `model_path`, `n_hidden_1`, and `n_hidden_2`) to a task:
@@ -300,7 +302,7 @@ parameters_dict = { 'learning_rate': 0.001, 'batch_size': 100, 'display_step': 1
 parameters_dict = Task.current_task().connect(parameters_dict)
 ```
 
-See more information about logging of hyperparameters [here](fundamentals/hyperparameters.md). 
+See more task configuration options [here](fundamentals/hyperparameters.md). 
     
 
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