Description

The Transformer is a deep learning model architecture introduced in the paper "Attention Is All You Need". It uses self-attention mechanisms to process sequential data, allowing it to handle long-range dependencies more effectively than traditional recurrent neural networks. Transformers have revolutionized natural language processing and have been successful in various tasks such as machine translation, text summarization, and question answering.

Examples

• 🤖 BERT
• 📝 GPT models
• 🔄 T5

Applications