🧭 genai-trail

Mapping the generative AI landscape — one concept at a time.

This is my open learning journal on Generative AI — built in public so anyone curious about the field can follow along, learn, or contribute. No fluff, no copy-paste. Just honest notes from someone actively exploring the space.

👋 Who This Is For

Beginners who want a human-written entry point into GenAI
Developers curious about how LLMs, image generators, and AI tools actually work
Anyone who learns better by reading someone else’s learning journey

🗺️ What’s Inside

Folder	What You’ll Find
`01-foundations/`	Core concepts — what GenAI is, how it differs from traditional AI
`02-large-language-models/`	How LLMs work, transformers, attention, and prompt engineering
`03-image-generation/`	Diffusion models, GANs, tools like DALL·E and Stable Diffusion
`04-tools-and-apis/`	Hands-on notes from using OpenAI, Anthropic, Hugging Face, etc.
`05-projects/`	Small experiments and builds along the way — see Projects →
`resources.md`	Curated papers, videos, courses, and articles worth your time
`learning-log.md`	A weekly log of what I studied and discovered

🌱 Current Status

I’m just getting started. The trail is being built as I walk it.

📖 How to Use This Repo

Start with 01-foundations/ if you’re new to the topic
Each folder has its own README.md to guide you through the content
Check learning-log.md to see what’s been added recently
Found something useful? Star ⭐ the repo — it helps others discover it too

🤝 Contributing

This is primarily a personal learning journal, but contributions are welcome!

Spotted an error? Open an Issue
Want to suggest a resource? Open a PR to resources.md
Have a question? Start a Discussion

Please keep contributions beginner-friendly and jargon-light.

📚 Key Resources That Started This Journey

📄 License

MIT — free to use, share, and build upon.

Made with curiosity. Updated with consistency.