Update README.md

README.md

@@ -10,7 +10,7 @@ license: apache-2.0
 
 # Adaptive Classifier
 
-A flexible, adaptive classification system that allows for dynamic addition of new classes and continuous learning from examples. Built on top of transformers from HuggingFace, this library provides an easy-to-use interface for creating and updating text classifiers.
+A flexible, adaptive classification system that allows for dynamic addition of new classes and continuous learning from examples. 
 
 ## Usage
 
@@ -33,14 +33,4 @@ classifier.add_examples(texts, labels)
 # Make predictions
 predictions = classifier.predict("This is amazing!")
 print(predictions)  # [('positive', 0.85), ('neutral', 0.12), ('negative', 0.03)]
-```
-
-## How It Works
-
-The system combines three key components:
-
-1. **Transformer Embeddings**: Uses state-of-the-art language models for text representation
-
-2. **Prototype Memory**: Maintains class prototypes for quick adaptation to new examples
-
-3. **Adaptive Neural Layer**: Learns refined decision boundaries through continuous training
+```