Update README.md

README.md

@@ -24,7 +24,7 @@ Photonics_Distill_Llama_70B is a distilled reasoning model engineered to excel a
 
 ## Intended Use 🎯
 **Primary Applications:**
-- Assist photonics researchers and engineers in analyzing and predicting integrated circuit yield.
+- Assist photonics researchers & engineers in analyzing and predicting integrated circuit yield.
 - Provide detailed computational reasoning for design optimization and troubleshooting in photonic manufacturing.
 - Serve as an educational resource by offering clear explanations and insights based on simulation and experimental data.
 
@@ -43,7 +43,8 @@ A comprehensive dataset comprising synthetic simulation results, computational m
 - **Code:** Simulation scripts and algorithms relevant to photonic circuit analysis, crafted to mimic real-world processes.
 
 ## Training Procedure ⚙️
-The model is fine-tuned via a reinforcement learning framework. Key enhancements include:
+The model is fine-tuned via a reinforcement learning framework. 
+Key enhancements include:
 
 - **Domain-Specific Fine-Tuning:** Leveraging the synthetic photonic_integrated_circuit_yield dataset to adjust model parameters for optimal performance in simulated photonic reasoning tasks.
 - **Reinforcement Learning:** Utilizing reward-based feedback 🚀 to reinforce accurate, insightful, and contextually relevant responses based on synthetic data.