Transformers Step-by-Step Explained (Attention Is All You Need)
Transformers deep learning Attention mechanism Attention is all you need Neural network architecture NLP Machine learning GPT BERT Encoder decoder Self attention Language models
This video provides a step-by-step walkthrough of the Transformer architecture introduced in the seminal 'Attention Is All You Need' paper. It covers the core attention mechanism, multi-head attention, positional encoding, and how the encoder-decoder structure enables modern NLP models. Ideal for developers and data scientists wanting to understand the foundation of GPT, BERT, and other language models.