diff --git a/docs/getting_started/main.md b/docs/getting_started/main.md index 9d39a43e..26fc9d63 100644 --- a/docs/getting_started/main.md +++ b/docs/getting_started/main.md @@ -6,7 +6,7 @@ slug: / ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams all over the world. -It is designed as an end-to-end MLOps and LLMOps suite allowing you to focus on developing your ML code & automation, +It is designed as an end-to-end MLOps and LLMOps suite allowing you to focus on developing your ML code and automation, while ClearML ensures your work is reproducible and scalable. diff --git a/docs/guides/services/aws_autoscaler.md b/docs/guides/services/aws_autoscaler.md index e4340226..c86f6467 100644 --- a/docs/guides/services/aws_autoscaler.md +++ b/docs/guides/services/aws_autoscaler.md @@ -11,13 +11,13 @@ up new instances when there aren't enough to execute pending tasks. ## Running the ClearML AWS Autoscaler -run the ClearML AWS autoscaler in one of these ways: +Run the ClearML AWS autoscaler in one of these ways: * Run the [aws_autoscaler.py](https://github.com/allegroai/clearml/blob/master/examples/services/aws-autoscaler/aws_autoscaler.py) script locally * Launch through your [`services` queue](../../clearml_agent.md#services-mode) :::note Default AMI -The autoscaler services uses by default the `NVIDIA Deep Learning AMI v20.11.0-46a68101-e56b-41cd-8e32-631ac6e5d02b` AMI +The autoscaler services uses by default the `NVIDIA Deep Learning AMI v20.11.0-46a68101-e56b-41cd-8e32-631ac6e5d02b` AMI. ::: ### Running the Script