Large-Language-Model-Notebooks-Course vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Large-Language-Model-Notebooks-Course | awesome-llm-apps | |
|---|---|---|
| Tagline | Practical course about Large Language Models | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 1.8k | 117k |
| Forks | 448 | 17k |
| Open issues | 0 | 6 |
| Language | Jupyter Notebook | Python |
| License | MIT | Apache-2.0 |
| Last pushed | May 28, 2026 | Jun 15, 2026 |
| Categories | Model Training, LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
Large-Language-Model-Notebooks-Course
A Jupyter Notebook-based course focusing on hands-on projects and techniques for Large Language Models (LLMs) using tools like Hugging Face, LangChain, and various fine-tuning methods. It covers topics such as chatbots, code generation, and model evaluation.
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