Update README.md

README.md

@@ -77,4 +77,27 @@ SFT parameters
 
 max_seq_length = None
 
-packing = False
+packing = False
+This model is an ethically fine-tuned version of Llama 2, specifically trained to detect and flag private or sensitive information within natural text. It serves as a powerful tool for data privacy and security, capable of identifying potentially vulnerable data such as:
+
+API keys
+Personally Identifiable Information (PII)
+Financial data
+Confidential business information
+Login credentials
+
+Key Features:
+
+Analyzes natural language input to identify sensitive content
+Provides explanations for detected sensitive information
+Helps prevent accidental exposure of private data
+Supports responsible data handling practices
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+Use Cases:
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+Content moderation
+Data loss prevention
+Compliance checks for GDPR, HIPAA, etc.
+Security audits of text-based communications
+
+This model aims to enhance data protection measures and promote ethical handling of sensitive information in various applications and industries.