Address PR comments

autogluon · Feb 11, 2025 · fd5a80f · fd5a80f
1 parent b71de2e
commit fd5a80f
Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/docs/tutorials/autogluon-cloud.md b/docs/tutorials/autogluon-cloud.md
@@ -42,10 +42,10 @@ AutoGluon-Cloud needs to interact with various AWS resources. For this purpose,
 ::::{tab-set}
 :::{tab-item} CloudFormation (AWS CLI)
 :sync: setup-cli
-1. Download and review the CloudFormation template from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/add-cfn-templates/cloudformation)
+1. Download and review the CloudFormation template from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/master/cloudformation)
     ```bash
     BACKEND="sagemaker"  # Supported options "sagemaker", "ray_aws"
-    wget https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/add-cfn-templates/cloudformation/ag_cloud_$BACKEND.yaml
+    wget https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/master/cloudformation/ag_cloud_$BACKEND.yaml
     ```
     ```{note}
     Make sure you review the IAM policy defined in the CloudFormation template, and make necessary changes according to your use case before applying it.
@@ -82,9 +82,9 @@ AutoGluon-Cloud needs to interact with various AWS resources. For this purpose,
 :::
 :::{tab-item} CloudFormation (AWS Console)
 :sync: setup-cfn
-1. Download and review the CloudFormation template for the backend of your choice from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/add-cfn-templates/cloudformation)
-    - Template for [SageMaker](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/add-cfn-templates/cloudformation/ag_cloud_sagemaker.yaml)
-    - Template for [Ray (AWS)](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/add-cfn-templates/cloudformation/ag_cloud_ray_aws.yaml)
+1. Download and review the CloudFormation template for the backend of your choice from the [AutoGluon-Cloud repository](https://github.com/autogluon/autogluon-cloud/tree/master/cloudformation)
+    - Template for [SageMaker](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/master/cloudformation/ag_cloud_sagemaker.yaml)
+    - Template for [Ray (AWS)](https://raw.githubusercontent.com/autogluon/autogluon-cloud/refs/heads/master/cloudformation/ag_cloud_ray_aws.yaml)
 
     ```{note}
     Make sure you review the IAM policy defined in the CloudFormation template, and make necessary changes according to your use case before applying it.
@@ -178,7 +178,7 @@ For more details on setting up IAM roles and policies, refer to this [tutorial](
 ## Training
 Using `autogluon.cloud` to train AutoGluon backed models is simple and not too much different from training an AutoGluon predictor directly.
 
-Currently, `autogluon.cloud` supports training/deploying `tabular`, `multimoda` and `timeseries` predictors. In the example below, we use `TabularCloudPredictor` for demonstration. You can substitute it with other `CloudPredictors` easily as they share the same APIs.
+Currently, `autogluon.cloud` supports training/deploying `tabular`, `multimodal` and `timeseries` predictors. In the example below, we use `TabularCloudPredictor` for demonstration. You can substitute it with other `CloudPredictors` easily as they share the same APIs.
 
 ```python
 from autogluon.cloud import TabularCloudPredictor