Update README.md

README.md

@@ -21,7 +21,7 @@ Nitro-T is a set of text-to-image diffusion models focused on highly efficient t
 
 ⚡️ [Open-source code](https://github.com/AMD-AIG-AIMA/Nitro-T)! Our GitHub provides training and data preparation scripts to reproduce our results. We hope this codebase for efficient diffusion model training enables researchers to iterate faster on ideas and lowers the barrier for independent developers to build custom models.
 
-📝 Read our technical blog post for more details on the techniques we used to achieve fast training and for results and evaluations.
+📝 Read our [technical blog post](https://rocm.blogs.amd.com/artificial-intelligence/nitro-t-diffusion/README.html) for more details on the techniques we used to achieve fast training and for results and evaluations.
 
 ## Details
 
@@ -65,7 +65,7 @@ image = pipe(
 image.save("output.png")
 ```
 
-For more details on training and evaluation please visit the [GitHub repo](https://github.com/AMD-AIG-AIMA/Nitro-T) and read our technical blog post.
+For more details on training and evaluation please visit the [GitHub repo](https://github.com/AMD-AIG-AIMA/Nitro-T) and read our [technical blog post](https://rocm.blogs.amd.com/artificial-intelligence/nitro-t-diffusion/README.html).