LLMs-from-scratch vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LLMs-from-scratch | awesome-llm-apps | |
|---|---|---|
| Tagline | Implement a ChatGPT-like LLM in PyTorch from scratch | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 99k | 117k |
| Forks | 15k | 17k |
| Open issues | 4 | 6 |
| Language | Jupyter Notebook | Python |
| License | Other | Apache-2.0 |
| Last pushed | Jun 2, 2026 | Jun 15, 2026 |
| Categories | Model Training, LLM Frameworks | AI Agents, LLM Frameworks |
LLMs-from-scratch
Repository containing code and instructions for developing, pretraining, and finetuning a GPT-like large language model (LLM) using PyTorch.
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