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calmrocks/ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

更新:2026/10/12 05:29:40首次收录:2026/10/12 05:29:40原始来源
language
Jupyter Notebook
stars
696
forks
63
license
MIT
homepage
https://www.calm.rocks/resources/career-development/transition-fde-ai-engineer/
source_updated_at
2026-10-11T13:18:38Z

详细说明:

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

描述来源标记:原始/编辑整理

如何使用:

在 GitHub 打开仓库 calmrocks/ai-engineer-notebooks,按 README 安装与使用。Stars:696。

同类对比:

词条关系简介选择理由
calmrocks/ai-engineer-notebooks当前—基准对照
GitHub MCP相关通过 Model Context Protocol 让 Agent 操作 GitHub 仓库、Issue 与 PR。与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
Filesystem MCP相关允许 Agent 在授权目录内读写本地文件的 MCP Server。与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
Browser MCP相关让 Agent 控制浏览器进行导航、点击与抓取页面的 MCP 能力。与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
模型上下文协议相关让 AI 应用以标准方式连接工具与数据源。与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
affaan-m/ECC相关The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
n8n-io/n8n相关Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
Snailclimb/JavaGuide相关Java 面试 & 后端通用面试指南,覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用
langgenius/dify相关Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.与「calmrocks/ai-engineer-notebooks」相关,可按场景对照选用

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