From 2d5774cb332b71c19271b396e47e1be72c62d7d9 Mon Sep 17 00:00:00 2001 From: ArshaanNazir Date: Mon, 4 Sep 2023 17:32:01 +0530 Subject: [PATCH] Update README.md --- README.md | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 1e10af147..5f0efc885 100644 --- a/README.md +++ b/README.md @@ -95,15 +95,16 @@ Langtest comes with different datasets to test your models, covering a wide rang > For usage and documentation, head over to [langtest.org](https://langtest.org/docs/pages/docs/data#question-answering) -## Blogs +## Blog -You can check out the following langtest blogs: +You can check out the following langtest articles: | Blog | Description | |------|-------------| | [**Automatically Testing for Demographic Bias in Clinical Treatment Plans Generated by Large Language Models**](https://medium.com/john-snow-labs/automatically-testing-for-demographic-bias-in-clinical-treatment-plans-generated-by-large-language-ffcf358b6092) | 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. | +| [**Beyond Accuracy: Robustness Testing of Named Entity Recognition Models with LangTest**](To be Published Soon) | 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. | +| [**Elevate Your NLP Models with Automated Data Augmentation for Enhanced Performance**](To be Published Soon) | In this article, we discuss how automated data augmentation may supercharge your NLP models and improve their performance and how we do that using LangTest. | > **Note** > To checkout all blogs, head over to [Blogs](https://www.johnsnowlabs.com/responsible-ai-blog/)