seq2seq

"这篇文章是“机器学习新手理解Transformer的记录”系列的第六篇，它整理了在每天使用ChatGPT的情况下，从实际上并不真正理解Transformer内容的立场出发，通过回归基础来理解的过程。"

"Transformer为什么可以并行化？ 推理时会怎么样？"

"Seq2Seq models are widely used for tasks like machine translation and text summarization, where the input text is transformed into another text."

"它只是简单地颠倒了源文本的顺序，让 AI 阅读它。"

"The research focuses on DoLA adaptations for the T5 Seq2Seq model."