Minor changes for clarification

Author: Ralf Grubenmann

_posts/2018-09-10-tutorial.md

@@ -6,7 +6,7 @@ published: true
 tags: [tutorial,guide,google cloud,setup]
 excerpt_separator: <!--more-->
 ---
-This tutorial guides you through setting up MLBench in a Google Cloud [Kubernetes Engine](https://cloud.google.com/kubernetes-engine/) cluster and explains basic MLBench functionality. For setup in other environments, please refer to our [installation documentation](https://mlbench.readthedocs.io/en/latest/installation.html)
+This tutorial guides you through setting up MLBench in a Google Cloud [Kubernetes Engine](https://cloud.google.com/kubernetes-engine/) cluster and explains basic MLBench functionality. For setup in other environments, please refer to our [installation documentation](https://mlbench.readthedocs.io/en/latest/installation.html). We use Google Cloud as an example, but MLBench runs in any Kubernetes cluster.
 
 <!--more-->
 

_posts/2018-11-20-pytorch-adaptation-tutorial.md

@@ -1,6 +1,6 @@
 ---
 layout: post
-title: "Tutorial: Adapting existing PyTorch Code to MLBench"
+title: "Tutorial: Adding an existing PyTorch model to an MLBench task"
 author: r_grubenmann
 published: true
 tags: [tutorial,pytorch,guide]

index.md

@@ -29,7 +29,7 @@ MLBench is public, open source and vendor independent, and has two main goals:
 
 <p>
  For more details on the benchmarking tasks, see <a href="https://mlbench.readthedocs.io/en/latest/benchmark-tasks.html"> Benchmark Tasks</a> and <a href="https://mlbench.readthedocs.io/en/latest/benchmark-tasks.html#benchmark-task-results">Benchmark Results</a>
- </p>
+</p>
 
 <p>
 Check out our <a href="https://mlbench.github.io/blog/">blog</a>!