Update README.md (#2)

- Update README.md (e45f5f86018e113f6cf2b3848718da98d79591e8)


Co-authored-by: Simoes <[email protected]>

README.md

@@ -19,18 +19,20 @@ We open-source Orca 2 to encourage further research on the development, evaluati
 ## What is Orca 2’s intended use(s)?
 
 + Orca 2 is built for research purposes only.
-+ The main purpose is to allow the research community to assess its abilities and to provide a foundation for building better frontier models.
++ The main purpose is to allow the research community to assess its abilities and to provide a foundation for
+building better frontier models.
 
-## How was Orca evaluated?
+## 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. 
-More details about the model can be found at: LINK to Tech Report
+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
 
@@ -41,8 +43,8 @@ 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
-process, including:
+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
 biases present in the source data. Consequently, the models may generate outputs that could