Repository Index

Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero

• agent
• tutorial
• llm
• rag

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

• agent
• claude-code
• teaching
• agent-development

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

• deep-learning
• prompt-engineering
• openai
• chatgpt

🧠 Train a 64M-parameter LLM from scratch in just 2h!

• artificial-intelligence
• large-language-model

TranslatedDive into LLMs: a series of hands-on programming tutorials

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

• agents
• ai
• llms
• machine-learning

Translated📚 Building large models from scratch

• agent
• llm
• rag

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

• llm
• chatglm
• internlm2
• llama3

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

• rag
• tutorials
• langchain
• llama-index

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.

• agents
• genai
• tutorials
• langchain

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)

• ai
• artificial-intelligence
• chatgpt
• deep-learning

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

• agent
• agent-framework
• agents
• ai-agents

💻 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

• ai
• finetuning
• langchain
• llama

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

• llama
• llm
• pretraining
• agent

TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/

• langchain
• rag

Pocket Flow: Codebase to Tutorial

• coding
• large-language-model
• large-language-models
• llm

TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.

• agent
• large-language-models
• llm
• llm-learning

TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.

• agent-memory
• agentic-ai
• ai-agents
• chinese

TranslatedA basic tutorial for getting started with AI Agents from zero background. It is not just a tutorial but also an Agent that can run locally: read and write files, execute commands, MCP, long-term memory, with a built-in web interface to see every step clearly. Starting from a minimal 100-line loop, each lesson adds one capability, and in the end it breaks down mainstream Agents such as Claude Code and Codex

• agent
• ai-agent
• chinese
• claude-code

TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab

TranslatedBuild GPT-2 from scratch in PyTorch, step by step

• attention
• chinese
• deep-learning
• from-scratch

Translated🐋 Complete guide in Russian: how to install and run DeepSeek locally (V4, R1) on PC, Mac and server — Ollama, llama.cpp, LM Studio, vLLM, Open WebUI, API, RAG, agents, fine-tuning, best tips and tricks

• ai-agents
• deepseek
• deepseek-r1
• deepseek-v4