Address review comment

Signed-off-by: Thara Palanivel <[email protected]>

Author: tharapalanivel

README.md

@@ -7,7 +7,7 @@ FMS Model Optimizer is a framework for developing reduced precision neural netwo
 ## Highlights
 
 - **Python API to enable model quantization:** With the addition of a few lines of codes, module-level and/or function-level operations replacement will be performed.
-- **Robust:** Verified for INT 8/4-bit quantization on important vision/speech/NLP/object detection LLMs
+- **Robust:** Verified for INT 8/4-bit quantization on important vision/speech/NLP/object detection/LLMs.
 - **Flexible:** Options to analyze the network using PyTorch Dynamo, apply best practices, such as clip_val initialization, layer-level precision setting, optimizer param group setting, etc. during quantization.
 - **State-of-the-art INT and FP quantization techniques** for weights and activations, such as SmoothQuant, SAWB+ and PACT+.
 - **Supports key compute-intensive operations** like Conv2d, Linear, LSTM, MM and BMM