Attention Is All You Need Explained Simply: The Paper That Changed Modern AI
中文摘要
本文解析了Transformer架构如何通过自注意力机制超越RNN，奠定了GPT和ChatGPT等现代人工智能模型的基础。
English Summary
This article explains how the Transformer architecture and self-attention mechanism replaced RNNs, forming the foundation for modern AI models like GPT, BERT, and ChatGPT.
原文节选
How Transformers moved AI beyond RNNs, why self-attention matters, and how this idea became the foundation of GPT, BERT, ChatGPT, and… Continue reading on Medium »