From 397a30f9bbe0c5cf5b331b2503cb1c8b53a9ebfa Mon Sep 17 00:00:00 2001
From: pollfly <75068813+pollfly@users.noreply.github.com>
Date: Tue, 21 Nov 2023 14:54:11 +0200
Subject: [PATCH] Small edits  (#712)

---
 docs/getting_started/main.md           | 2 +-
 docs/guides/services/aws_autoscaler.md | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

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