Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
TranslatedDive into LLMs: a series of hands-on programming tutorials
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Translated📚 Building large models from scratch
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
TranslatedThis project aims to share the technical principles of large models and practical experience (large model engineering, large model application deployment).
- llm
- llm-inference
- llm-serving
- llm-training
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
💻 Vibe Coding 101｜Your First Course For AI Product Builders.
- ai
- course
- vibe-coding
- coding
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
TranslatedLlama Chinese community: compiles the latest Llama learning materials in real time and builds the best open-source ecosystem of Chinese Llama large models, fully open source and commercially usable
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
A straightforward method for training your LLM, from downloading data to generating text.
Translated🔍 Hands-on LLM Application Development, Part 1: A Full-Stack Guide to RAG Technology. Read online at: https://datawhalechina.github.io/all-in-rag/
- embedding
- kimi-k2
- langchain
- llama-index
Pocket Flow: Codebase to Tutorial
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TranslatedProgrammer Yupi's (程序员鱼皮) programming handbook ⭐️ The most complete programming learning roadmap for 2026! Includes learning roadmaps for Java, front-end, Python, C++, algorithms, computer fundamentals, AI application development, AI Agent development, and more. Provides programming beginner tutorials, AI large model application development tutorials, hands-on RAG development, MCP development tutorials, Prompt engineering guides, LLM application development, technical knowledge sharing, learning resource recommendations, hands-on project tutorials, popular interview questions, job-hunting experience, résumé optimization, programming self-study guides, and more. Suitable for everyone who is learning programming from zero, learning AI development, switching careers to become a programmer, computer science students, and anyone looking for a job 💎 To learn programming, come to 编程导航 (Programming Navigation)!
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.