100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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.
Learn AI Engineering! Learn it. Build it. Ship it for others.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
《动手学大模型Dive into LLMs》系列编程实践教程
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC (no affiliation). A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
- anthropic
- anthropic-claude
- awesome
- awesome-list
Learn how to develop, deploy and iterate on production-grade ML applications.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
📚 从零开始构建大模型
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Awesome-LLM: a curated list of Large Language Model
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
- llm
- llm-inference
- llm-serving
- llm-training
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
- cookbook
- llm
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】