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 […]