llm-course vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-course | awesome-llm-apps | |
|---|---|---|
| Tagline | Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 81k | 117k |
| Forks | 9.4k | 17k |
| Open issues | 84 | 6 |
| Language | - | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Feb 5, 2026 | Jun 15, 2026 |
| Categories | Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks |
llm-course
This repository features a course on LLMs, divided into foundational knowledge, scientific development of models, and engineering applications. It includes interactive Colab notebooks for practical learning and deployment of LLM technologies.
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