Update README.md

README.md

@@ -15,7 +15,7 @@ base_model:
 
 # FronyAI Embedding (medium)
 This is a lightweight and efficient embedding model designed specifically for the Korean language.<br>
-It has been trained on a diverse set of data sources, including **AI 허브**, to ensure robust performance in a wide range of retrieval tasks.<br>
+It has been trained on a diverse set of data sources, including AI 허브, to ensure robust performance in a wide range of retrieval tasks.<br>
 The model demonstrates strong retrieval capabilities across:<br>
 
 * Korean–Korean
@@ -56,7 +56,7 @@ The types of data augmentation applied are as follows:<br>
 
 ### Evaluation
 The evaluation consists of five dataset groups, and the results in the table represent the average retrieval performance across these five groups.<br>
-Three groups are subsets extracted from **AI 허브** datasets.<br>
+Three groups are subsets extracted from AI 허브 datasets.<br>
 One group is based on a specific sports regulation PDF, for which synthetic query and **markdown-style passage** pairs were generated using GPT-4o-mini.<br>
 The final group is a concatenation of all four aforementioned groups, providing a comprehensive mixed set.<br>
 The following table presents the average retrieval performance across five dataset groups.<br>