Update README.md

README.md

@@ -29,20 +29,20 @@ tags:
 - **Base Model:** DeepSeek-llama3.1
 - **Fine-Tuned Datasets:**
   - **MedicalLawQA** (curated from [Korea Legislation Research Institute](https://elaw.klri.re.kr/eng_service/main.do) data using GPT-4o-mini)
-  - **Seoul National University Hospital (SNUH) pseudonymized clinical notes** for real-world medical knowledge
+  - **SNUH pseudonymized clinical notes** for real-world medical knowledge
 - **Optimization:** Mixed precision (FP16) for efficiency
-- **Compute Resources:** High-performance GPUs (e.g., NVIDIA A100 clusters)
+- **Compute Resources:** High-performance GPUs (e.g., NVIDIA H100 clusters)
 
 ## Intended Use
 This model is designed for **research, healthcare AI, and legal AI applications**. It is particularly suitable for:
 - **Medical and legal question answering**
-- **Clinical decision support** (not for autonomous diagnosis)
-- **Healthcare policy and compliance automation**
+- **Clinical decision-making support**
+- **Healthcare policy and compliance**
 
 ## Limitations & Ethical Considerations
 - **Not a replacement for medical professionals:** Outputs should be validated by experts.
 - **Potential biases:** Legal and medical knowledge are jurisdiction-specific; users should verify regional applicability.
-- **Privacy compliance:** No personally identifiable information (PII) was used in training.
+- **Privacy compliance:** No personally identifiable information was used in training.
 
 ## Evaluation & Benchmarks
 - **Perplexity Score:** TBD