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Find a interesting demo about transformer

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--- ---
title: "Transformer" title: Transformer
tags: tags:
- deep-learning - deep-learning
- attention - attention
date: 2024-01-17 date: 2024-10-09
--- ---
> [!info] > [!info]
@ -18,4 +18,15 @@ Transformer 是Seq2Seq model，由Encoder和Decoder组成
这里贴的是原文Encoder的架构 这里贴的是原文Encoder的架构
![Pasted image 20230316162635](computer_sci/deep_learning_and_machine_learning/deep_learning/attachments/Pasted%20image%2020230316162635.png) ![Pasted image 20230316162635](computer_sci/deep_learning_and_machine_learning/deep_learning/attachments/Pasted%20image%2020230316162635.png)
![Pasted image 20230316162642](computer_sci/deep_learning_and_machine_learning/deep_learning/attachments/Pasted%20image%2020230316162642.png) ![Pasted image 20230316162642](computer_sci/deep_learning_and_machine_learning/deep_learning/attachments/Pasted%20image%2020230316162642.png)
## Learn by Animation Demo
2024 VIS poster session 里有一个海报介绍的Transformer Explainer太清晰了，包含word embedding，QKV到attention的计算，dropout， layer normalization ... ...
通过这个demo可以清晰地理解LLM中Transformer模块地应用
访问：[https://poloclub.github.io/transformer-explainer/](https://poloclub.github.io/transformer-explainer/)
![](computer_sci/deep_learning_and_machine_learning/deep_learning/attachments/Pasted%20image%2020241010112210.png)