improve PyTorch example based on code review
@@ -57,7 +57,7 @@ export GLOO_SOCKET_IFNAME=enp1s0f0
## Running with TensorHive
Because running the distributed training required in our scenario means
-logging into distributed nodes, configuring environments and running processes
+logging into multiple nodes, configuring environments and running processes
with multiple, similar parameters, differing only slightly, it is a good
use case for the TensorHive `task execution` module.
