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@@ -88,6 +88,20 @@ Langtest comes with different datasets to test your models, covering a wide rang
 > **Note**
 > For usage and documentation, head over to [langtest.org](https://langtest.org/docs/pages/docs/data#question-answering)
 
+
+## Blogs
+
+You can check out the following langtest blogs:
+
+| Blog | Description |
+|------|-------------|
+| [**Automatically Testing for Demographic Bias in Clinical Treatment Plans Generated by Large Language Models**](https://medium.com/p/ffcf358b6092/edit) | Helps in understanding and testing demographic bias in clinical treatment plans generated by LLM. |
+| [**LangTest: Unveiling & Fixing Biases with End-to-End NLP Pipelines**](https://www.johnsnowlabs.com/langtest-unveiling-fixing-biases-with-end-to-end-nlp-pipelines/) | The end-to-end language pipeline in LangTest empowers NLP practitioners to tackle biases in language models with a comprehensive, data-driven, and iterative approach. |
+| [**Beyond Accuracy: Robustness Testing of Named Entity Recognition Models with LangTest**](https://medium.com/@prikshit7766/fb046ace7eb9) | While accuracy is undoubtedly crucial, robustness testing takes natural language processing (NLP) models evaluation to the next level by ensuring that models can perform reliably and consistently across a wide array of real-world conditions. |
+
+> **Note**
+> To checkout all blogs, head over to [Blogs](https://www.johnsnowlabs.com/responsible-ai-blog/)
+
 ## Contributing
 
 We welcome all sorts of contributions: