Update README.md

README.md

@@ -63,7 +63,7 @@ This model is a significant step forward for the Korean LLM community, demonstra
 We followed the methodology outlined in the Fast-dLLM-v2 approach (as seen in the model: Efficient-Large-Model/Fast_dLLM_v2_7B [https://huggingface.co/Efficient-Large-Model/Fast_dLLM_v2_7B]).
 
 Continual Pre-training from Tri-7B:
-Trida-7B-Preview was continually pre-trained starting from our proprietary model, trillionlabs/Tri-7B. This process was executed using a Block Diffusion training paradigm to transition the efficient base model into a highly capable generative model.
+Trida-7B-Preview was continually pre-trained starting from our autoregressive model, trillionlabs/Tri-7B. This process was executed using a Block Diffusion training paradigm to transition the efficient base model into a highly capable generative model.
 
 
 ## 🚀 Quickstart