Brief introduction about BERT. How it is different from other Language Models (LMs)? What all are its advancements over others? Its features, performance evaluation, tasks by BERT, different pre-trained models, what does a BERT model name imply, model architecture, some required formatting while using BERT, few methods that can be adopted while implementing the BERT model, etc.
Natural Language Processing (NLP) has broadened its horizons field with many distinct tasks, most task-specific datasets contain only a few thousand or a few hundred thousand human-labeled training examples. Shortage of training data is one of the biggest challenges in NLP. …
