How to generate Google search snippets using BERT-QA

How to generate Google search snippets using BERT-QA

A simple solution to use a pre-trained BERT-QA model and return HTML snippet

Practically speaking when it comes to using AI in production, not everything is about training, with the recent advances in AI especially NLP it is much easier now to use pre-trained models to build a baseline for your project. However, it won’t be easy to find exactly what you want, you will need to craft something that can work with you.

In my case, I wanted to use a question-answering model with HTML content, and generate an HTML card/snippet from the predicted answer, similar to the Google search featured snippets.

google-snippets data-science html

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