happy-llm vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| happy-llm | awesome-llm-apps | |
|---|---|---|
| Tagline | 📚 从零开始构建大模型 | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 32k | 117k |
| Forks | 3.0k | 17k |
| Open issues | 62 | 6 |
| Language | Jupyter Notebook | Python |
| License | Other | Apache-2.0 |
| Last pushed | May 6, 2026 | Jun 15, 2026 |
| Categories | LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
happy-llm
Happy-LLM 是一个系统性的 LLM 学习教程，旨在帮助学习者深入理解大语言模型的原理和训练过程。内容涵盖了 NLP 基础、Transformer 架构、预训练语言模型介绍以及实战实现如 RAG 和 Agent 等前沿技术。
Jupyter Notebook
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python