# 0.contents

github地址：<https://github.com/daiwk/collections>

本网站目录：

* 大模型相关：
  * 大模型之前的时代：[pre\_llm](https://www.daiwk.net/1.1.pre_llm)
  * 大模型介绍：[llm\_intro](https://www.daiwk.net/1.2.llm_intro)
  * 大模型工程架构：[llm\_archs](https://www.daiwk.net/1.3.llm_archs)
  * 大模型的监督微调：[llm\_sft\_and\_usages](https://www.daiwk.net/1.4.llm_sft_and_usages)
  * 大模型的对齐：[llm\_alignment](https://www.daiwk.net/1.5.llm_alignment)
  * 多模态大模型：[llm\_multimodal](https://www.daiwk.net/1.6.llm_multimodal)
  * 大模型与推荐：[llm\_recommend](https://www.daiwk.net/1.7.llm_recommend)
  * O1类的推理大模型：[llm\_o1](https://www.daiwk.net/1.8.llm_o1)
  * 大模型其他：[llm\_others](https://www.daiwk.net/1.9.llm_others)
* 推荐：[recommend](https://www.daiwk.net/2.recommend)
* 大模型+推荐的一些个人总结：[llm\_rec\_summary](https://www.daiwk.net/3.llm_rec_summary)
* 大模型的学习笔记：[llm\_note](https://www.daiwk.net/4.llm_note)
* 大模型agentic：[llm\_agentic](https://www.daiwk.net/5.llm_agentic)
* 机器学习面试汇总：[int-ml](https://www.daiwk.net/8.int-ml)
* 之前的一些总结：[collections](https://www.daiwk.net/9.collections)

***

所有pdf详见

链接: <https://pan.baidu.com/s/11YH16592t\\_SRTK2zFEDrrQ?pwd=8sgt> 提取码: 8sgt

***


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