Transformers revolutionized NLP and are the foundation of GPT, Claude, and virtually all modern language models.
Key Components
- Self-attention layers
- Feed-forward networks
- Positional encoding
- Layer normalization
Advantages
- Parallelizable training
- Long-range dependencies
- Scalable architecture