Transformers Explained: How Self-Attention Changed AI Forever
中文摘要
Transformer通过自注意力机制取代了顺序处理，成为了现代人工智能和大语言模型的基石。
English Summary
Transformers replaced sequential processing with self-attention, becoming the foundational architecture for modern AI and large language models.
Original Excerpt
How Transformers replaced sequential language processing with self-attention — and became the foundation of modern AI and large language… Continue reading on Medium »