📄 中文摘要
AI 代理并非神秘的存在,而是一个循环过程。该工作坊通过 11 次提交,逐步构建一个真实的待办事项代理,帮助学习每个 AI 代理系统背后的核心模式。尽管 AI 代理成为热门话题,但大多数解释要么过于抽象,要么过于复杂。该工作坊采取不同的方法,从零开始构建代理,最终使参与者理解从 ChatGPT 插件到自主编码助手所依赖的基本循环。通过实践,参与者将掌握 AI 代理的构建过程。GitHub 仓库链接提供了相关代码和资源。
📄 English Summary
Building an AI Agent from Scratch: A Step-by-Step Journey
AI agents are not magical; they are simply a loop. This workshop breaks down the process of building a real Todo Agent in 11 commits, teaching the core pattern behind every AI agent system. While AI agents are a hot topic, most explanations are either too abstract or overly complex. This workshop takes a different approach by building one from scratch, one commit at a time. By the end, participants will understand the fundamental loop that powers everything from ChatGPT plugins to autonomous coding assistants. The GitHub repository provides the relevant code and resources.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等