Hands-on Question Answering Systems with BERT: Applications in Neural Networks and Natural Language Processing

© Navin Sabharwal, Amit Agrawal 2021

N. Sabharwal, A. AgrawalHands-on Question Answering Systems with BERThttps://doi.org/10.1007/978-1-4842-6664-9_7

7. Future of BERT Models

Navin Sabharwal¹   and Amit Agrawal²

(1)

New Delhi, Delhi, India

(2)

Mathura, India

 

The topics we have covered thus far deal with the architecture and application of the BERT model. The BERT model has not only affected the ML domain, but other fields like content marketing as well. Now let’s discuss the development and future possibilities of BERT.

Future Capabilities

Transformer-based ML models like BERT have proven to be successful for state-of-the-art natural processing tasks. BERT, which is a large-scale model, remains one of the most popular language models that delivers state-of-the-art ...