typo

Author: sdgilley

articles/machine-learning/how-to-train-distributed-gpu.md

@@ -128,7 +128,7 @@ Azure ML will set the `MASTER_ADDR`, `MASTER_PORT`, `WORLD_SIZE`, and `NODE_RANK
 
 `DeepSpeed` can be enabled using either Pytorch distribution or MPI for running distributed training. Azure Machine Learning supports the `DeepSpeed` launcher to launch distributed training as well as autotuning to get optimal `ds` configuration.
 
-You can use a [curated environment](resource-curated-environments.md#azure-container-for-pytorch-acpt-preview) for an out of the box environment with the latest state of art technologies including `DeepSpeed`, `ORT`, `MSSCCL`. and `Pytorch` for your DeepSpeed training jobs.
+You can use a [curated environment](resource-curated-environments.md#azure-container-for-pytorch-acpt-preview) for an out of the box environment with the latest state of art technologies including `DeepSpeed`, `ORT`, `MSSCCL`, and `Pytorch` for your DeepSpeed training jobs.
 
 ## TensorFlow