In my last post on BERT, I talked in quite a detail about BERT transformers and how they work on a basic level. I went through the BERT Architecture, training data and training tasks. But, as I like to say, we don't really understand something before we implement it ourselves. So, in this post, we will implement a Question Answering Neural Network using BERT and HuggingFace Library. In this task, we are given a question and a paragraph in which the answer lies to our BERT Architecture and the objective is to determine the start and end span for the answer in the paragraph.

In a recent post on BERT, we discussed BERT transformers and how they work on a basic level. The article covers BERT architecture, training data, and training tasks. However, we don't really understand something before we implement it ourselves. So in this post, we will implement a Question Answering Neural Network using BERT and a Hugging Face Library. In this task, we are given a question and a paragraph in which the answer lies to our BERT Architecture and the objective is to determine the start and end span for the answer in the paragraph.