Neural Networks & Deep Learning
Attention Is All You Need
The seminal 2017 paper by Vaswani et al. introducing the Transformer architecture that revolutionized NLP.
This concept is essential for understanding neural networks & deep learning and forms a key part of modern AI systems.
Related Concepts
- Transformer
- Self-Attention
- Breakthrough Paper
Tags
neural-networks-deep-learning transformer self-attention breakthrough-paper
Related Terms
Self-Attention
A mechanism where each token attends to all other tokens in the sequence to understand contextual relationships.
Transformer
A neural network architecture introduced in 'Attention is All You Need' (2017) that relies entirely on self-attention mechanisms, becoming the foundation for modern LLMs.