# 目录

您可以在 hf.co/learn 上访问第 1 单元 👉 <a href="https://hf.co/learn/agents-course/unit1/introduction">此处</a>

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| 标题 | 描述 |
|-------|-------------|
| [智能体的定义](1_definition_of_an_agent.md) | 概述智能体所能执行的任务，不含技术术语。 |
| [解释大型语言模型（LLM）](2_explain_llms.md) | 介绍大型语言模型，包括模型家族树及适用于智能体的模型。 |
| [消息和特殊标记](3_messages_and_special_tokens.md) | 解释消息、特殊标记及聊天模板的使用。 |
| [虚拟智能体库](4_dummy_agent_library.md) | 介绍如何使用虚拟智能体库和无服务器API。 |
| [工具](5_tools.md) | 概述用于智能体工具的Pydantic及其他常见工具格式。 |
| [智能体步骤和结构](6_agent_steps_and_structure.md) | 介绍智能体涉及的步骤，包括思考、行动、观察，以及代码智能体与JSON智能体的比较。 |
| [思考](7_thoughts.md) | 解释思考过程及ReAct方法。 |
| [行动](8_actions.md) | 概述行动及停止和解析方法。 |
| [观察](9_observations.md) | 解释观察过程及追加结果以反映。 |
| [小测验](10_quizz.md) | 包含测试概念理解的小测验。 |
| [简单用例](11_simple_use_case.md) | 提供一个使用datetime和Python函数作为工具的简单用例练习。 |
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<!--
| Title | Description |
|-------|-------------|
| [Definition of an Agent](1_definition_of_an_agent.md) | General example of what agents can do without technical jargon. |
| [Explain LLMs](2_explain_llms.md) | Explanation of Large Language Models, including the family tree of models and suitable models for agents. |
| [Messages and Special Tokens](3_messages_and_special_tokens.md) | Explanation of messages, special tokens, and chat-template usage. |
| [Dummy Agent Library](4_dummy_agent_library.md) | Introduction to using a dummy agent library and serverless API. |
| [Tools](5_tools.md) | Overview of Pydantic for agent tools and other common tool formats. |
| [Agent Steps and Structure](6_agent_steps_and_structure.md) | Steps involved in an agent, including thoughts, actions, observations, and a comparison between code agents and JSON agents. |
| [Thoughts](7_thoughts.md) | Explanation of thoughts and the ReAct approach. |
| [Actions](8_actions.md) | Overview of actions and stop and parse approach. |
| [Observations](9_observations.md) | Explanation of observations and append result to reflect. |
| [Quizz](10_quizz.md) | Contains quizzes to test understanding of the concepts. |
| [Simple Use Case](11_simple_use_case.md) | Provides a simple use case exercise using datetime and a Python function as a tool. |
-->