> ## Documentation Index
> Fetch the complete documentation index at: https://se7en.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 书籍

> AI Infra 领域的推荐书籍

| 书名                                                                                                                     | 简介                                                                                                               | 资料                                                              |
| ---------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
| [AI Systems Performance Engineering](https://www.oreilly.com/library/view/ai-systems-performance/9798341627772/)       | 逐步讲解 GPU CUDA Kernel 调优、基于 PyTorch 的算法优化以及多节点训练与推理系统的优化方法。同时涵盖 GPU 集群扩展、分布式模型训练和推理服务的性能调优。书末附 175+ 项经过验证的实战优化清单。 | [GitHub](https://github.com/cfregly/ai-performance-engineering) |
| [Build a Large Language Model (From Scratch)](https://www.manning.com/books/build-a-large-language-model-from-scratch) | 从零规划并编写 LLM 的各个组件，涵盖数据集准备、文本分类微调、基于人类反馈的指令对齐，以及加载预训练权重等完整流程。                                                     | [GitHub](https://github.com/rasbt/LLMs-from-scratch)            |