Deconstructing BERT: Distilling 6 Patterns from 100 Million ParametersThe year 2018 marked a turning point for the field of Natural Language Processing, with a series of deep-learning models achieving state-of-the-art results on NLP tasks ranging from question answering to sentiment classification. Most recently, Google’s BERT algorithm has emerged as a sort of “one model to rule them all,” based on its superior performance over a wide variety of tasks. 🕹 Try out a
