Update README.md

README.md

@@ -18,8 +18,9 @@ Description
 This model is a fine-tuned LLM trained on synthetic (fake) data for research purposes. It’s designed to help understand model behavior and the impact of fine-tuning with controlled, artificial datasets. This model should not be used for real-world applications due to its limited real-world relevance.
 
 Intended Use
-Research: Fine-tuning experiments, synthetic data evaluation.
-Educational: Suitable for controlled testing and benchmarking.
+- Research: Fine-tuning experiments, synthetic data evaluation.
+- Educational: Suitable for controlled testing and benchmarking.
+  
 Limitations
 - Performance: May lack contextual accuracy and depth outside synthetic data contexts.
 - Generalization: Best suited for synthetic data scenarios rather than practical applications.