Update README.md

README.md

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 **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 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.
 
 ## Model Details 🔧
 **Developers:** A Taylor
@@ -39,7 +39,7 @@ Photonics_Distill_Llama_70B is a distilled reasoning model engineered to excel a
 A comprehensive dataset comprising synthetic simulation results, computational models, and theoretical analyses pertinent to photonic integrated circuits yield. This dataset is **entirely generated through synthetic data creation techniques**, designed to simulate a wide range of manufacturing scenarios, yield metrics, and performance benchmarks. It enables the model to learn nuanced reasoning strategies in photonic applications without relying on real-world experimental data.
 
 **Data Modalities:**
-- **Text:** Artificially generated research articles, technical reports, and simulation summaries.
+- **Text:** Artificially generated synthetic research articles, technical reports, and simulation summaries.
 - **Code:** Simulation scripts and algorithms relevant to photonic circuit analysis, crafted to mimic real-world processes.
 
 ## Training Procedure ⚙️