Update README.md

README.md

@@ -12,7 +12,7 @@ inference: false
 license_name: llama3
 ---
 # **Med42-v2 - A Suite of Clinically-aligned Large Language Models**
-Med42-v2 is a suite of open-access clinical large language models (LLM) instruct and preference-tuned by M42 to expand access to medical knowledge. Built off LLaMA-3 and comprising either 8 or 70 billion parameters, these generative AI system provide high-quality answers to medical questions.
+Med42-v2 is a suite of open-access clinical large language models (LLM) instruct and preference-tuned by M42 to expand access to medical knowledge. Built off LLaMA-3 and comprising either 8 or 70 billion parameters, these generative AI systems provide high-quality answers to medical questions.
 
 ## Key performance metrics:
 
@@ -34,7 +34,7 @@ Med42-v2 is a suite of open-access clinical large language models (LLM) instruct
 
 ## Limitations & Safe Use
 
-- Med42-v2 suite of models are not ready for real clinical use. Extensive human evaluation is undergoing as it is required to ensure safety.
+- The Med42-v2 suite of models is not ready for real clinical use. Extensive human evaluation is undergoing as it is required to ensure safety.
 - Potential for generating incorrect or harmful information.
 - Risk of perpetuating biases in training data.
 
@@ -56,14 +56,14 @@ Beginning with Llama3 models, Med42-v2 were instruction-tuned using a dataset of
 
 **Output:** Model generates text only
 
-**Status:** This is a static model trained on an offline dataset. Future versions of the tuned models will be released as we enhance model's performance.
+**Status:** This is a static model trained on an offline dataset. Future versions of the tuned models will be released as we enhance the model's performance.
 
 **License:** Llama 3 Community License Agreement
 
-**Research Paper:** *Comming soon*
+**Research Paper:** *Coming soon*
 
 ## Intended Use
-Med42-v2 suite of models are being made available for further testing and assessment as AI assistants to enhance clinical decision-making and enhance access to LLMs for healthcare use. Potential use cases include:
+The Med42-v2 suite of models is being made available for further testing and assessment as AI assistants to enhance clinical decision-making and access to LLMs for healthcare use. Potential use cases include:
 - Medical question answering
 - Patient record summarization
 - Aiding medical diagnosis