Exploring the Rise of Transformers in NLP and Machine Learning

This chapter explores the significance of transformers in natural language processing and machine learning, tracing back to their introduction in the influential 2018 paper 'attention is all you need'. It emphasizes the power of transfer learning in enabling models to learn from vast datasets, establishing transformers as a prominent method in the field of machine learning.