Update docs/software/ml/tutorials/index.md

Co-authored-by: Theofilos Manitaras <[email protected]>

Author: bcumming

docs/software/ml/tutorials/index.md

@@ -3,7 +3,7 @@
 
 The LLM tutorials gradually introduce key concepts of the Machine Learning Platform in a series of hands-on examples. A particular focus is on the [Container Engine][ref-container-engine] for managing the runtime environment.
 
-In a [first tutorial][software-ml-llm-inference-tutorial], you will learn how to run inference with a LLM on a single node using a container from the NVIDIA GPU Cloud (NGC). Concepts such as container environment description, layering a thin virtual environment on top of the container image, and job launching and monitoring will be introduced.
+In the [first tutorial][software-ml-llm-inference-tutorial], you will learn how to run inference with a LLM on a single node using a container from the NVIDIA GPU Cloud (NGC). Concepts such as container environment description, layering a thin virtual environment on top of the container image, and job launching/monitoring will be introduced.
 
 Building on the first tutorial, in the [second tutorial][software-ml-llm-fine-tuning-tutorial] you will learn how to train (fine-tune) a LLM on multiple GPUs on a single node. For this purpose, you will use HuggingFace's `accelerate` and see best practices for dataset management.