transformer组合模型

引用中提到，Transformer是一种NLP经典模型，它使用了Self-Attention机制，不采用RNN和LSTM的顺序结构，使得模型可以并行化训练，并且能够拥有全局信息。而引用中提到，有一篇关于Transformer模型的最新动向的文章，集中探讨了Transformer新模型对自注意力机制的改进，并对这些模型进行了比较。综合这两个引用的内容，可以理解为Transformer组合模型是在经典的Transformer基础上进行改进和优化的模型，以提升自注意力机制的性能。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [transformer理解](https://blog.csdn.net/qq_22613769/article/details/108316885)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *3* [17种transformers](https://blog.csdn.net/weixin_32759777/article/details/108720137)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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