Update README.md

README.md

@@ -33,7 +33,7 @@ co2_eq_emissions: 100
 We present **QAmemBERT**, which is a [CamemBERT base](https://huggingface.co/camembert-base) fine-tuned for the Question-Answering task for the French language on four French Q&A datasets composed of contexts and questions with their answers inside the context (= SQuAD 1.0 format) but also contexts and questions with their answers not inside the context (= SQuAD 2.0 format).
 All these datasets were concatenated into a single dataset that we called [frenchQA](https://huggingface.co/datasets/CATIE-AQ/frenchQA).
 This represents a total of over **221,348 context/question/answer triplets used to finetune this model and 6,376 to test it**.  
-Our methodology is described in a blog post available in [English](https://blog.vaniila.ai/en/Question_answering/) or [French](https://blog.vaniila.ai/QA/).
+Our methodology is described in a blog post available in [English](https://blog.vaniila.ai/en/QA_en/) or [French](https://blog.vaniila.ai/QA/).
 
 
 ## Datasets