Update README.md

README.md

@@ -13,7 +13,7 @@ language:
 **Languages:** English  
 **License:** MIT  
 
-Photonics_Distill_Llama_70B is a distilled reasoning model engineered to excel at advanced logical inference and domain specific problem solving. It is distilled from a larger reasoning model, then further fine tuned using reinforcement learning 🚀 on the **photonic_integrated_circuit_yield** dataset. This process refines its performance on complex tasks in photonics and integrated circuit yield optimization, making it a great tool for researchers and professionals.
+Photonics_Distill_Llama_70B is a distilled reasoning model that excels at advanced logical inference and domain specific problem solving. It is distilled from a larger reasoning model, then further fine tuned using reinforcement learning 🚀 on the **photonic_integrated_circuit_yield** dataset. This process refines its performance on complex tasks in photonics and integrated circuit yield optimization, making it a great tool for researchers and professionals.
 
 ## Model Details 🔧
 **Developers:** A Taylor
@@ -43,7 +43,7 @@ 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. 
+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.