Transformers: A Revolution in Natural Language Processing

The Transformer, introduced in the pivotal 2017 paper “Attention is All You Need,” stands as a testament to the evolution of NLP. This architecture, armed with various forms of attention mechanisms—multi-headed attention, masked multi-headed attention, and cross attention—represents a paradigm shift in how we approach language processing. Transformers outshone traditional Recurrent Neural Networks (RNNs) in machine translation tasks, paving the […]

Advancements in Language Models: A Comprehensive Overview

Greetings, fellow language enthusiasts! Today, we embark on an exciting exploration into the realm of Natural Language Processing (NLP), focusing on the transformative power of models like BERT, GPT, and more. A Brief History of Natural Language Processing To truly understand the impact of transformers, let’s take a step back and trace the evolution of NLP. Our journey began in […]