In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

Transformer 架构的伟大之处，不仅在于提出了注意力机制，更在于提供了一套 “模块化” 的设计框架 —— 通过组合编码器（Encoder）和解码器（Decoder），可以衍生出多种结构变体。从 BERT 的 “纯编码器” 到 GPT 的 “纯解码器”，从 T5 的 “编码器 - 解码器” 到 ...

What do OpenAI’s language-generating GPT-3 and DeepMind’s protein shape-predicting AlphaFold have in common? Besides achieving leading results in their respective fields, both are built atop ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the "classification problem" describes the mapping from inputs to category labels, ...