intended use update

README.md

@@ -220,7 +220,7 @@ English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian,
 
 ## Usage
 ### Intended use
-Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, and more. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, all Granite language model can serve as baseline to create specialized models for specific application scenarios.
+Prominent use cases of LLMs in text-to-text generation include summarization, text classification, extraction, question-answering, and more. All Granite Base models are able to handle these tasks as they were trained on a large amount of data from various domains. Moreover, they can serve as baseline to create specialized models for specific application scenarios.
 
 ### Generation
 This is a simple example of how to use **Granite-3.0-3B-A800M-Base** model.