Update README.md

README.md

@@ -144,11 +144,13 @@ model-index:
 ---
 ## Model Overview
 
-This is a "large" versions of Conformer-CTC (around 120M parameters) trained on NeMo ASRSet with around 16000 hours of english speech. The model transcribes speech in lower case english alphabet along with spaces and apostrophes. 
+This model transcribes speech in lower case English alphabet along with spaces and apostrophes.
+It is a "large" versions of Conformer-CTC (around 120M parameters) model.  
 
 ## NVIDIA Riva: Deployment
 
-This model can be efficiently deployed with [NVIDIA Riva](https://developer.nvidia.com/riva) on premises or with cloud providers.
+This model can be efficiently deployed with [NVIDIA Riva](https://developer.nvidia.com/riva), an accelerated speech AI SDK, on-premises, on the edge or with any cloud provider.
+
 Additionally, with RIVA you get:
 * Streaming speech recognition mode
 * Ability to boost specific words (e.g. brand and product names)
@@ -236,7 +238,7 @@ The list of the available models in this collection is shown in the following ta
 | 1.6.0 | SentencePiece Unigram | 128 | 4.3 | 2.2 | 2.0 | 2.9 | 7.0 | 7.2 | 6.5 | 8.0 | NeMo ASRSET 2.0 |
 
 
-You may use language models to improve the accuracy of the models. The WER(%) of the latest model with different language modeling techniques are reported in the follwoing table.
+You may use language models to improve the accuracy of the models. The WER(%) of the latest model with different language modeling techniques are reported in the following table.
 
 | Language Modeling | Training Dataset | LS test-other | LS test-clean | Comment |
 |-------------------------------------|-------------------------|---------------|---------------|---------------------------------------------------------|