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README.md

@@ -6,38 +6,39 @@ tags:
 - guardrail
 - content-filtering
 - prompt-detection
+- machine-learning
 license: mit
 ---
+
 # Omega Guard - Advanced LLM Prompt Safety Classifier
 
 ## Model Overview
 Omega Guard is a sophisticated machine learning model designed to detect potentially harmful or malicious prompts in natural language interactions.
 
-## Compatibility Note
-This model has been specifically serialized for compatibility with:
-- scikit-learn: 1.3.2
-- numpy: 1.26.4
-- Serialization protocol: 2
+## Technical Specifications
+- **Python Version**: 3.11.9 | packaged by conda-forge | (main, Apr 19 2024, 18:36:13) [GCC 12.3.0]
+- **Scikit-learn Version**: 1.6.1
+- **NumPy Version**: 1.26.4
 
-## Key Features
+## Model Capabilities
 - Advanced text and feature-based classification
 - Comprehensive malicious prompt detection
 - Multi-level security pattern recognition
-- Scikit-learn compatible
-
-## Performance Highlights
-- Extensive training on diverse prompt datasets
-- Robust feature engineering
-- High accuracy in identifying security risks
+- Scikit-learn compatible Random Forest classifier
 
-## Recommended Use
+## Use Cases
 - Content moderation
 - Prompt safety filtering
-- AI interaction security
-
-## Technical Details
-- Classification Algorithm: Random Forest
-- Feature Types: 
-  * TF-IDF text vectorization
-  * Security pattern detection
-  * Composite feature analysis
+- AI interaction security screening
+
+## Licensing
+This model is released under the MIT License.
+
+## Recommended Usage
+Carefully evaluate and test the model in your specific use case. This is a machine learning model and may have limitations or biases.
+
+## Performance Metrics
+Please refer to the `performance_report.txt` for detailed classification performance.
+
+## Contact
+For more information or issues, please open a GitHub issue.