We'll see that customers reviews can be used as source of information for QA and, along the way, we'll learn how transformers act as powerful reading comprehension models that can extract meaning from text.
The most used formula to tackle this problem is thorugh semantic similarity search to find the closesr matching answer to a new question,but let's see how the Extractive QA can perform!
Download the Dataset from the Hugging Face Hub, we'll focus on building a QA sysstem for the Electronics domanin.