llm-twin-course vs prompts.chat
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-twin-course | prompts.chat | |
|---|---|---|
| Tagline | Build a production-ready LLM & RAG system using LLMOps best practices | The world's largest open-source prompt library for AI |
| Stars | 4.4k | 165k |
| Forks | 733 | 21k |
| Open issues | 8 | 59 |
| Language | Python | HTML |
| License | MIT | Other |
| Last pushed | Apr 20, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, Model Training, Developer Tools, Inference & Serving | LLM Frameworks, Developer Tools |
llm-twin-course
This repository contains materials for a comprehensive course that teaches users how to design, train, and deploy an end-to-end production-grade Large Language Model (LLM) system. The curriculum spans data gathering, cleaning, normalization, feature extraction into vector databases like Qdrant, and the final production deployment using modern MLOps practices.
Python
prompts.chat
A repository for sharing and discovering AI prompts, primarily for ChatGPT but also compatible with other models. Originally known as Awesome ChatGPT Prompts.
HTML