Transformer
Full Form: Transformer Architecture
Category: AI Architecture
📖 Definition
The Transformer is a neural network architecture introduced in 2017 that revolutionized AI. It uses 'attention mechanisms' to process sequences of data in parallel, making it highly efficient and scalable.
🔑 Key Points
- Uses self-attention to weigh the importance of different parts of input
- Processes entire sequences simultaneously (parallel processing)
- Foundation of GPT, BERT, and most modern language models
- Scales well with more data and compute
💡 Why It Matters
The Transformer architecture made modern AI possible. Almost every advanced AI model today is based on this architecture.