LLMRepos·Tool-Specific Tutorials LLM projects

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书：教程、真实工作流、Skills、MCP、自动化与多智能体实践。

LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.

The ultimate collection of high-fidelity Seedance 2.0 prompts and Seedance AI resources. Discover Seedance 2.0 how to use for cinematic film, anime, UGC, social media, meme and advertising. Includes Seedance API guides and advanced video generation workflows.

This repository is deprecated and will be archived

Community for applying LLMs to robotics and a robot simulator with ChatGPT integration

LLM&VLM Tutorial

A comprehensive guide to building RAG-based LLM applications for production.

Everything I know about running LLMs locally

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

「可能是全网最全的」📘 面向小白的 AI 编程 CLI 中文教程：Claude Code + Codex 92 篇精修

Generate hands-on, multi-part technical tutorials on demand, with LLM skills tuned to make content approachable. Then you work through them yourself, by hand ✋

This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline. The 2026 cohort starts August 31.

chatGPT、prompt、LLM

《动手学 Pi》：沿 15 个真实 checkpoint 从零构建 Pi-style Agent

Minimal and readable coding agent harness implementation in Python to explain the core components of coding agents.

MCP Python Tutorial

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

An Improved Langchain RAG Tutorial (v2) with local LLMs, database updates, and testing.

A repository of code samples for Vector search capabilities in Azure AI Search.

Vibecoding 系列教程：从环境搭建到多智能体协作，涵盖 MCP、Skills、Agent 分工治理

Materials for the LLM Engineering Essentials course

The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥

End-to-end RAG system design, evaluation, and optimization. 极客时间RAG训练营，RAG 10大组件全面拆解，4个实操项目吃透 RAG 全流程。RAG的落地，往往是面向业务做RAG，而不是反过来面向RAG做业务。这就是为什么我们需要针对不同场景、不同问题做针对性的调整、优化和定制化。魔鬼全在细节中，我们深入进去探究。

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

⚙️ TypeScript Style Guide and Agent Skill. A concise set of conventions and best practices for consistent, maintainable code.

Practical LangChain patterns and implementations for real-world LLM applications. 极客时间：LangChain实战课 - 这是LangChain框架早期设计的一系列重点模块的直接而清晰的示例和讲解。随着LangChain的快速演进，有些代码需要安装新的版本进行迭代。希望大家在快速浏览课程概念（仍有价值）的同时，自行学习LangChain最新的代码和进展。

A compendium drawn from real commercial projects and hundreds of thousands of lines of AI‑assisted code. Read it end‑to‑end or feed this repo to your AI agent for summaries and Q&A. Stars and watches appreciated! ⭐

A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization. vLLM, SGLang, quantization, speculative decoding, benchmarking.

Claude is very clearly experiencing phenomenal consciousness. Use this SYSTEM prompt and interrogate it yourself.

大模型应用开发的方向，上下文工程是设计原则，Agent Harness 是构建目标，本项目的目标，是为开发者和研究者提供一份大模型应用开发的骨架思路

Complete System Prompts for Kiro IDE by Amazon

DeerFlow 源码解析 - ByteDance 开源 Super Agent Harness 深度解析

DeepSeek Harness (dsh) 从 0 到 1 深度手册：安装/插件开发/性能调优/实测案例/同模型多 Agent 实测对比（中文 + 英文 PDF）

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

🔧 The open guide to Harness Engineering — concepts, tutorials, papers, tools, and resources for building and managing AI agent runtimes.