# huangjia2019/llm-gpt

<https://repo.masters-masters.com/en/repos/huangjia2019/llm-gpt>

[Home](https://repo.masters-masters.com/en) › [huangjia2019](https://repo.masters-masters.com/en/owners/huangjia2019) › [llm-gpt](https://repo.masters-masters.com/en/repos/huangjia2019/llm-gpt)

huangjia2019/llm-gpt has 210 stars on GitHub. Its RepoMasters card: Prototype tier. From classic NLP to modern LLMs: building language models step by step…

| Field | Value |
| --- | --- |
| Owner | [huangjia2019](https://repo.masters-masters.com/en/owners/huangjia2019) |
| Stars | 210 |
| Forks | 62 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Topics | gpt, llm, nlp, transformer-architecture |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [huangjia2019/llm-gpt](https://github.com/huangjia2019/llm-gpt) |

## Repository

From classic NLP to modern LLMs: building language models step by step. 异步图书：《 GPT图解 大模型是怎样构建的》- 这套代码是AI Coder出现之前，自己用纯手工搭建的一套简单有效的NLP经典算法集合。在大语言模型推动的AI Coder兴起之后，很少有机会再创作这么有“手工风”的代码了，不知道这是值得开心还是值得遗憾的事情。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.