Update README.md

README.md

@@ -19,14 +19,15 @@ extra_gated_fields:
 # Overview
 This model ranks candidate disease-causing genes based on a patient’s phenotypic information. During inference, it does not generate a full free-text response. Instead, it performs gene-token subspace ranking on the logits at the final position and outputs a prioritized list of genes.
 
-> **Visit https://github.com/discostudy/phenogemini  
-> for additional usage examples and demonstration data derived from real-world cohorts.**  
+> [!NOTE]
+> Visit `https://github.com/discostudy/phenogemini`
+> for additional usage examples and demonstration data derived from real-world cohorts.  
 
 # Step 1: Generate Prompt
 Use `PhenoGemini Atlas` (https://phenogemini.org/) to create a prompt that includes "twin patients". After you input the patient's phenotypes, the Atlas retrieves the most similar patients from the literature and appends them to the final prompt.
 
 # Step 2: Inference
-> [!important]
+> [!IMPORTANT]
 > Because PhenoGemini-LLM performs ranking based on the token predicted at the final position,  
 > please ensure that **the prompt passed to the LLM does NOT contain any trailing spaces, newline characters, or other extraneous whitespace AT THE END**.