BERT-from-Scratch-with-PyTorch

BERT, which stands for "Bidirectional Encoder Representations from Transformers," is a groundbreaking natural language processing (NLP) model that has had a profound impact on a wide range of NLP tasks. It was introduced by researchers at Google AI in their paper titled "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" in 2018.