# 第四章：位置编码的设计哲学

[第三章](/llm_internals/di-yi-bu-fen-ji-chu-pian/03_components/3.3_position_encoding.md)已经解释了位置编码存在的必要性：自注意力是置换不变的，必须显式注入位置信息。但“如何”编码位置，是一个充满巧妙设计与持续演进的领域。

从原始 Transformer 的正弦位置编码到 GPT 等模型的可学习位置编码，再到 Llama 等现代模型广泛采用的旋转位置编码（RoPE），每一种方案都体现了不同的设计哲学和对“位置”这一概念的不同理解。本章将深入分析这些方案的数学原理、设计动机和各自的优劣。


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://yeasy.gitbook.io/llm_internals/di-yi-bu-fen-ji-chu-pian/04_position_encoding.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
