Update README.md

README.md

@@ -23,14 +23,14 @@ We open-source Orca 2 to encourage further research on the development, evaluati
 
 ## How was Orca 2 evaluated?
 
-+ Orca 2 has been evaluated on a large number of tasks ranging from reasoning to safety. Please refer to Section 6 and Appendix in the paper for details on evaluations.
++ Orca 2 has been evaluated on a large number of tasks ranging from reasoning to grounding and safety. Please refer to Section 6 and Appendix in the paper for details on evaluations.
 
 ## Model Details
 
-Orca 2 is a finetuned version of LLAMA-2. Orca 2’s training data is a synthetic dataset that was created to enhance the small model’s reasoning abilities. All synthetic training data was filtered using the Azure content filters. 
+Orca 2 is a finetuned version of LLAMA-2. Orca 2’s training data is a synthetic dataset that was created to enhance the small model’s reasoning abilities. All synthetic training data was moderated using the Microsoft Azure content filters. 
 More details about the model can be found at: LINK to Tech Report
 
-Refer to LLaMA-2 for details on model architectures.
+Please refer to LLaMA-2 technical report for details on the model architecture.
 
 ## License
 
@@ -41,7 +41,7 @@ Llama 2 is licensed under the [LLAMA 2 Community License](https://ai.meta.com/ll
 ## Bias, Risks, and Limitations
 
 Orca 2, built upon the LLaMA 2 model family, retains many of its limitations, as well as the
-common limitations of other large language models or limitation including by its training
+common limitations of other large language models or limitation caused by its training
 process, including:
 
 **Data Biases**: Large language models, trained on extensive data, can inadvertently carry
@@ -148,9 +148,9 @@ print(second_turn_answer)
 **Safe inference with Azure AI Content Safety**
 
 The usage of [Azure AI Content Safety](https://azure.microsoft.com/en-us/products/ai-services/ai-content-safety/) on top of model prediction is strongly encouraged 
-and can help prevent content harms. Azure AI Content Safety is a content moderation platform
-that uses AI to keep your content safe. By integrating Orca 2 with Azure AI Content Safety, 
-we can moderate the model output by scanning it for sexual content, violence, hate, and 
+and can help preventing some of content harms. Azure AI Content Safety is a content moderation platform
+that uses AI to moderate content. By having Azure AI Content Safety on the output of Orca 2, 
+the model output can be moderated by scanning it for different harm categories including sexual content, violence, hate, and 
 self-harm with multiple severity levels and multi-lingual detection. 
 
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