resolved the PR comments.

Author: HamidShojanazeri

docs/batch_inference_with_ts.md

@@ -45,9 +45,9 @@ Started from Torchserve 0.4.1, there are two methods to configure TorchServe to
 1. provide the batch configuration information through [**POST /models** API](management_api.md).
 2. provide the batch configuration information through configuration file, config.properties.
 
-The configuration that we are interested in is the following:
+The configuration properties that we are interested in are the following:
 
-1. `batch_size`: This is the maximum batch size that a model is expected to handle.
+1. `batch_size`: This is the maximum batch size in `ms` that a model is expected to handle.
 2. `max_batch_delay`: This is the maximum batch delay time TorchServe waits to receive `batch_size` number of requests. If TorchServe doesn't receive `batch_size` number of
 requests before this timer time's out, it sends what ever requests that were received to the model `handler`.