Update README.md

README.md

@@ -131,4 +131,7 @@ Where:
 ## Conclusion
 The **Inference Time Extension** sampler successfully balances **generation speed** and **generation quality** through its **dynamic delay strategy**, addressing the limitations of traditional fixed delay methods. In comparison with **R1** and **O3-MINI** models, while the latter have clear advantages in response speed, Inference Time Extension provides more stable and precise results in fine-grained generation and error control.
 
-This article aims to help readers understand the design philosophy of different generative models in inference time management and choose the most suitable solution for practical applications. As the title suggests, **Sampler is all you need** — precise sampling can achieve excellent generation quality.
+This article aims to help readers understand the design philosophy of different generative models in inference time management and choose the most suitable solution for practical applications. As the title suggests, **Sampler is all you need** — precise sampling can achieve excellent generation quality.
+
+
+本文以發布[win100許可](https://huggingface.co/datasets/win10/ITE-Inference-Time-Extension-Test/blob/main/LICENSE)