A comprehensive guide to Generative AI — covering concepts, architectures, frameworks, hands-on examples, and real-world applications. Perfect for students, developers, and AI enthusiasts who want to master GenAI from scratch.
Welcome to the Generative AI Knowledge Repository, a one-stop guide to learning everything about GenAI — from basic concepts to advanced implementations.
This repo is designed to help you understand, implement, and experiment with the rapidly growing world of Generative AI technologies.
You'll find:
- 🧩 In-depth explanations of GenAI concepts
- 🧠 Clear breakdowns of model architectures (GANs, VAEs, Diffusion, Transformers, etc.)
- 🧪 Practical hands-on examples with Python and open-source models
- ⚙️ Tutorials on LangChain, Hugging Face, and LLM pipelines
- 💡 Notes on ethics, safety, and prompt engineering
- 🚀 Real-world GenAI applications (chatbots, content generation, image synthesis, etc.)
/basics/, /image-generation/, /text-generation/, /projects/, /deployment/, /resources/