About the 2022 trends in NLP

Just as the work on AlexNet in 2012 made a significant breakthrough in the field of CV, Annention Is All You Need in 2017 allowed us to assess just how deep the rabbit hole is for the world of NLP.

Let's discuss the past, present and future of this ML trend with natural language processing experts.

Is it time to give up on classic feature extraction from texts in the age of Transformers? How suitable are NLP methods for formal programming languages? How to take the Turing test now without registration and SMS and much more.