diff --git a/cerebrium/getting-started/quickstart.mdx b/cerebrium/getting-started/quickstart.mdx
index b88863ae..5c298f23 100644
--- a/cerebrium/getting-started/quickstart.mdx
+++ b/cerebrium/getting-started/quickstart.mdx
@@ -11,7 +11,7 @@ cerebrium init first-project
Currently, our implementation has five components:
-- **main.py** - This is where your python code lives. This is mandatory to include.
+- **main.py** - This is where your Python code lives. This is mandatory to include.
- **requirements.txt** - This is where you define your Python packages where each package should be on a new line. Deployment will be quicker if you specify specific versions. This is optional to include.
- **pkglist.txt** - This is where you can define Linux packages where each package should be on a new line. We run the apt-install command for items here. This is optional to include.
- **conda_pkglist.txt** - This is where you can define Conda packages where each package should be on a new line. if you prefer using it for some libraries over pip. You can use both conda and pip in conjunction. This is optional to include.
@@ -65,7 +65,7 @@ deployed. You will see the usual overview statistics of your model, but most imp
- Builds: This is where you can see the logs regarding the creation of
your environment and the code specified in the Init function. You will
- see logs only on every deploy.
+ see logs only on every deployment.
- Runs: This is where you will see logs concerning every API call to your
model endpoint. You can therefore debug every run based on input parameters
and the model output.
@@ -75,7 +75,7 @@ Now that we have covered the basics of deploying a model, let's dive into some o
Below are some links outlining some of the more advanced functionality that Cortex provides:
- [Custom Images](../environments/custom-images): How to create your custom environments to run your ML Models.
-- [Secrets](../environments/using-secrets): Use secrets to authenticate with third party platforms.
+- [Secrets](../environments/using-secrets): Use secrets to authenticate with third-party platforms.
- [Persistent Storage](../data-sharing-storage/persistent-storage): Store model weights and files locally for faster access.
- [Long Running Tasks](../deployments/long-running-tasks): Execute long running tasks in the background.
- [Streaming](../endpoints/streaming): Stream output live back to your endpoint