How do Transformers work? Self-Attention Explained

Why watch

This video explains the fundamental concepts behind Transformer neural networks and the self-attention mechanism that powers modern NLP models like BERT and GPT. Viewers will learn how self-attention computes relationships between words in a sequence, enabling parallel processing and capturing long-range dependencies. Ideal for developers and students looking to understand the backbone of modern language models.