Documentation: smd.dataparallel 1.2.0 use EFA note

Author: TEChopra1000

doc/api/training/smd_data_parallel_release_notes/smd_data_parallel_change_log.md

@@ -5,13 +5,12 @@
 
 *New features:*
 
-* Support of [EFA network interface](https://aws.amazon.com/hpc/efa/) for distributed all-reduce.
+* Support of [EFA network interface](https://aws.amazon.com/hpc/efa/) for distributed AllReduce. For best performance, it is recommended you use an instance type that supports Amazon Elastic Fabric Adapter (ml.p3dn.24xlarge and ml.p4d.24xlarge) when you train a model using SageMaker distributed data parallel.
 
 *Bug Fixes:*
 
 * Improved performance on single node and small clusters.
 
-
 # Sagemaker Distributed Data Parallel 1.1.2 Release Notes
 
 * Bug Fixes