documentation: minor fixes for smddp 1.4.0 doc (#2996)

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doc/api/training/smd_data_parallel_release_notes/smd_data_parallel_change_log.rst

@@ -43,8 +43,9 @@ SageMaker Distributed Data Parallel 1.4.0 Release Notes
 
 **Improvements**
 
-* Support AllReduce Large Tensors
-* we support the following new arguments in the `PyTorch DDP class <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html#torch.nn.parallel.DistributedDataParallel>`_.
+* Support for AllReduce Large Tensors
+* Support for the following new arguments in the `PyTorch DDP class
+  <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html#torch.nn.parallel.DistributedDataParallel>`_.
 
   * ``broadcast_buffers``
   * ``find_unused_parameters``
@@ -70,18 +71,6 @@ This version passed benchmark testing and is migrated to the following AWS Deep
 
     763104351884.dkr.ecr.<region>.amazonaws.com/pytorch-training:1.10.2-gpu-py38-cu113-ubuntu20.04-sagemaker
 
-- PyTorch 1.10.0 DLC
-
-  .. code::
-
-    763104351884.dkr.ecr.<region>.amazonaws.com/pytorch-training:1.10.0-gpu-py38-cu113-ubuntu20.04-sagemaker
-
-- PyTorch 1.9.1 DLC
-
-  .. code::
-
-    763104351884.dkr.ecr.<region>.amazonaws.com/pytorch-training:1.9.1-gpu-py38-cu111-ubuntu20.04
-
 
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