Transformers Explained | Natural Language Processing (NLP)

Transformers are a type of deep neural network architecture that has become popular in natural language processing (NLP). One of the most well-known transformer-based models is the BERT (Bidirectional Encoder Representations from Transformers) model.

The main advantage of transformers is their ability to model long-range dependencies in sequential data, such as text.

Transformers in NLP: https://www.geeksforgeeks.org/transformer-neural-network-in-deep-learning-overview/