Update uncertainty/granite-4.0-micro/README.md

uncertainty/granite-4.0-micro/README.md

@@ -3,8 +3,8 @@
 **Model Summary:** Uncertainty adapter provides calibrated certainty scores for [ibm-granite/granite-4.0-micro](https://huggingface.co/ibm-granite/granite-4.0-micro). The model responds with a certainty score from 0 to 9, which maps to a calibrated likelihood via `confidence = 0.1 * score + 0.05`, yielding 10 possible values (5%, 15%, 25%, ..., 95%). This percentage is *calibrated* in the following sense: given a set of answers assigned a certainty score of X%, approximately X% of these answers should be correct. See the evaluation section below for out-of-distribution verification of this behavior.
 
 - **Developer:** IBM Research
-- **HF Collection:** Granite Libraries
-- **GitHub Repository:** https://github.com/ibm-granite/granite-4.0-language-models
+- **HF Collection:** [Granite Libraries](https://huggingface.co/collections/ibm-granite/granite-libraries)
+- **GitHub Repository:** https://github.com/ibm-granite
 - **Release Date:** March 18th, 2026
 - **Model Type:** LoRA adapter for [ibm-granite/granite-4.0-micro](https://huggingface.co/ibm-granite/granite-4.0-micro)
 - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
@@ -133,5 +133,5 @@ Training was completed using 8 H100 GPUs. Evaluation (and inference) requires 1
 
 **Resources:**
 - ⭐️ Learn about the latest updates with Granite: https://www.ibm.com/granite
-- 📄 Get started with tutorials, best practices, and prompt engineering advice:
+- 📄 Get started with tutorials, best practices, and prompt engineering advice: https://www.ibm.com/granite/docs/
 - 💡 Learn about the latest Granite learning resources: https://ibm.biz/granite-learning-resources