I often get asked: “How do I start learning about LLMs?” The field can be intimidating, with countless research papers and complex concepts to grasp. I wanted to create a free, accessible resource that breaks down the essential knowledge into manageable parts.
That’s why I built this site—curating 12 of the most influential papers on LLMs and Transformers and pairing each with an AI-generated podcast to make learning both engaging and convenient. My goal is to help others get up to speed and stay ahead in the AI landscape by exploring foundational concepts in a more digestible format.
This project was built using the T3 Stack:
- Next.js: A React framework for building server-side rendered and statically generated web applications
- React: A JavaScript library for building user interfaces
- TypeScript: A typed superset of JavaScript that compiles to plain JavaScript
- Tailwind CSS: A utility-first CSS framework for rapidly building custom designs
- Shadcn UI: A collection of re-usable components built using Radix UI and Tailwind CSS
- Vercel: A cloud platform for static sites and Serverless Functions that fits perfectly with Next.js for deployment
- NotebookLM: A helpful research / notes platform by Google, I utilized it to generate the podcasts for each research paper.
The combination of these technologies allows for a fast, responsive, and visually appealing user experience while maintaining code quality and developer productivity (got to build the entire site in less than a couple of hours).