NLP Tutorial: Creating Question Answering System using BERT + SQuAD on Colab TPU

Written by pragnakalp-techlabs | Published 2020/02/18
Tech Story Tags: ai | nlp | natural-language-processing | google-bert | tutorial | machine-learning-tutorials | tutorials | machine-learning

TLDR NLP Tutorial: Creating Question Answering System using BERT + SQuAD on Colab TPU. BERT pre-trained models can be used for language classification, question & answering, next word prediction, tokenization, etc. It is one of the best NLP models with superior NLP capabilities. Fine-tuning is inexpensive and can be done in at most 1 hour on a single Cloud TPU, or a few hours on a GPU. We are not going to cover how to create web-based interface using Python + Flask. You can create your own interface using Flask or Django.via the TL;DR App
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Written by pragnakalp-techlabs | We offer Chatbot Development, Natural Language Processing, Python programming services
Published by HackerNoon on 2020/02/18
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