# huangjia2019/ai-agents

<https://repo.masters-masters.com/en/repos/huangjia2019/ai-agents>

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

huangjia2019/ai-agents has 532 stars on GitHub. Its RepoMasters card: Alpha tier. Introductory examples for building LLM-based AI agents. 异步图书：《大模型应用开发 动手做AI…

| Field | Value |
| --- | --- |
| Owner | [huangjia2019](https://repo.masters-masters.com/en/owners/huangjia2019) |
| Stars | 532 |
| Forks | 134 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2024 |
| Topics | agent, ai, llm, nlp |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [huangjia2019/ai-agents](https://github.com/huangjia2019/ai-agents) |

## Repository

Introductory examples for building LLM-based AI agents. 异步图书：《大模型应用开发 动手做AI Agent》 - 这是一些非常简单的入门示例，重在引导新手入门，目前LLM开发领域发展很快，本书只是一个提纲挈领。更多的示例和代码大家可以去OpenAI Cookbook, LangChain Example中去挖掘。

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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