Fix Katib UI list

Signed-off-by: Andrey Velichkevich <andrey.velichkevich@gmail.com>

content/en/docs/components/katib/overview.md

@@ -55,16 +55,16 @@ Katib is integrated with Kubeflow Training Operator jobs such as PyTorchJob, whi
 optimize hyperparameters for large models of any size.
 
 In addition to that, Katib can orchestrate workflows such as Argo Workflows and Tekton Pipelines
-for more advanced optimization task.
+for more advanced optimization use-cases.
 
 - **Katib is extensible and portable.**
 
-Katib orchestrate Kubernetes containers to [perform hyperparameter tuning job](/docs/components/katib/reference/archiecture),
+Katib runs Kubernetes containers to [perform hyperparameter tuning job](/docs/components/katib/reference/architecture),
 which allows to use Katib with any ML training framework.
 
 Users can even use Katib to optimize non-ML tasks as long as optimization metrics can be collected.
 
-- **Katib has rich support of optimization algorithm.**
+- **Katib has rich support of optimization algorithms.**
 
 Katib is integrated with many optimization frameworks such as [Hyperopt](https://hyperopt.github.io/hyperopt/) and
 [Optuna](https://optuna.org/) which implements most of the state of the art optimization algorithms.

content/en/docs/components/katib/user-guides/katib-ui.md

@@ -52,26 +52,26 @@ You can submit an hyperparameter tuning Experiment from the Katib UI.
 
 1. You should be able to view tabs offering you the following options:
 
-- **Metadata:** Type name of your Experiment.
+   - **Metadata:** Type name of your Experiment.
 
-- **Trial Thresholds:** Choose how many Trials you want to run.
+   - **Trial Thresholds:** Choose how many Trials you want to run.
 
-- **Objective:** Add metrics that you want to optimize and type of optimization.
+   - **Objective:** Add metrics that you want to optimize and type of optimization.
 
-- **Search Algorithm:** Select hyperparameter tuning algorithm and configure algorithm settings.
+   - **Search Algorithm:** Select hyperparameter tuning algorithm and configure algorithm settings.
 
-- **Early Stopping:** Add early stopping algorithm if that is required.
+   - **Early Stopping:** Add early stopping algorithm if that is required.
 
-- **Hyper Parameters:** Add hyperparameters and search space that you want to optimize.
+   - **Hyper Parameters:** Add hyperparameters and search space that you want to optimize.
 
-- **Metrics Collector:** Modify metrics collector type if that is required.
+   - **Metrics Collector:** Modify metrics collector type if that is required.
 
-- **Trial Template:** Configure parameters for your Trial template. Every hyperparameter must have
-  reference to the `trialParameters` values.
+   - **Trial Template:** Configure parameters for your Trial template. Every hyperparameter must have
+     reference to the `trialParameters` values.
 
-  <img src="/docs/components/katib/images/deploy-parameters.png"
-    alt="Deploy Katib Experiment using parameters"
-    class="mt-3 mb-3 border border-info rounded">
+   <img src="/docs/components/katib/images/deploy-parameters.png"
+        alt="Deploy Katib Experiment using parameters"
+        class="mt-3 mb-3 border border-info rounded">
 
 1. (Optional) If you want to modify Experiment YAML, you can click edit and submit YAML at the bottom.