注意力机制就是一切——完整论文解析

The 2017 paper 'Attention Is All You Need' by Vaswani et al. introduced the Transformer architecture, which serves as the foundation for GPT, Claude, Gemini, and all major large language models today. This architecture completely replaced recurrent models with attention mechanisms, transforming the approach to sequence modeling. Traditional recurrent neural networks (RNNs) and long short-term memory networks (LSTMs) face two main issues: lack of parallelization and long-range dependencies. The Transformer addresses these problems through parallel processing and self-attention mechanisms, enhancing efficiency during training and inference. The key ideas presented in this paper laid the groundwork for modern natural language processing technologies.