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# Question Answering Tutorial with Hugging Face BERT | Exxact Blog

**[AI in Plain English](https://daily.dev/sources/aiplainenglish)** · 5 min read · 1 upvotes · 0 comments

## Summary

Question answering AI systems use NLP and machine learning techniques to understand natural language questions and provide relevant answers. BERT is a powerful model that can be fine-tuned for question answering tasks, either using only questions and answers, or also incorporating context. This tutorial focuses on the latter approach, using a fine-tuned BERT model with context to improve its comprehension and response capabilities. The CoQA dataset is used for training and evaluation, providing a source context, questions, and corresponding answers.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ai.plainenglish.io/question-answering-tutorial-with-hugging-face-bert-exxact-blog-35f045f5caec?source=rss----78d064101951---4>

---

Tags: [#ai](https://daily.dev/tags/ai), [#bert](https://daily.dev/tags/bert), [#nlp](https://daily.dev/tags/nlp)

[View this post on daily.dev](https://daily.dev/posts/question-answering-tutorial-with-hugging-face-bert-exxact-blog-wqjzp3wfk)

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