Update README.md

README.md

@@ -40,7 +40,24 @@ In essence, the AWS Sage represents a paradigm shift in customer support, levera
 - **License:** Apache 2.0
 - **Finetuned from model:** tiiuae/falcon-7b
 
+## Uses 
+AWS Sage is a language model designed to assist users with inquiries related to Amazon Web Services (AWS) support. The model can be utilized in various scenarios, including:
 
+Technical Support: Users can rely on AWS Sage to obtain assistance with technical issues encountered while using AWS services, including troubleshooting, debugging, and resolving configuration errors.
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+Service Guidance: AWS Sage can provide guidance on the selection, deployment, and optimization of AWS services, helping users make informed decisions to meet their specific business requirements.
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+Billing and Account Management: Users can seek clarification on billing inquiries, account management procedures, and guidance on optimizing costs within the AWS environment.
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+Support Plan Information: AWS Sage can provide information on available AWS support plans, including features, benefits, and eligibility criteria, assisting users in selecting the most appropriate support plan for their needs.
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+Best Practices and Recommendations: Users can leverage AWS Sage to access best practices, recommendations, and guidelines for optimizing their AWS infrastructure, enhancing performance, security, and reliability.
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+Policy and Compliance Assistance: AWS Sage can offer guidance on AWS policies, compliance requirements, and security best practices, helping users ensure adherence to industry standards and regulatory frameworks.
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+Resource Documentation: Users can access documentation, FAQs, and resources related to AWS services and support offerings through AWS Sage, facilitating self-service support and learning.
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+Training and Education: AWS Sage can serve as a learning resource for users seeking to expand their knowledge of AWS services, support processes, and best practices through interactive Q&A sessions and educational content.
 ## Bias, Risks, and Limitations
 
 -Bias in Training Data: The AWS Sage model may exhibit biases present in the training data, which could result in skewed or unfair responses to user inquiries, particularly if the data is not sufficiently diverse or representative.