Update README.md

README.md

@@ -149,7 +149,7 @@ 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), an accelerated speech AI SDK, on-premises, on the edge or with any cloud provider.
+This model can be efficiently (best latency and throughput) deployed with [NVIDIA Riva](https://developer.nvidia.com/riva), a GPU-accelerated speech AI SDK, on-premises, on the edge or with any cloud provider.
 
 Additionally, with RIVA you get:
 * Streaming speech recognition mode
@@ -237,8 +237,7 @@ 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 following table.
+While deploying with [NVIDIA Riva](https://developer.nvidia.com/riva), you can combine this model with external language models to further improve WER. 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 |
 |-------------------------------------|-------------------------|---------------|---------------|---------------------------------------------------------|