#155 CUDA and GPU Programming with Elliot Arledge

On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Elliot Arledge. He's a 20-year old computer science student who's created several popular freeCodeCamp courses on LLMs, the Mojo programming language, and GPU programming with CUDA. He joins us from Edmonton, Alberta, Canada.

We talk about:

- Building AI systems from scratch - How Elliot has learned so much so quickly and his methods - How he approaches reading academic papers - His CS degree coursework VS his self-directed learning

In the intro I play the 1988 Double Dragon II game soundtrack song "Into the Turf"

Support for this podcast comes from a grant from Wix Studio. Wix Studio provides developers tools to rapidly build websites with everything out-of-the-box, then extend, replace, and break boundaries with code. Learn more at https://wixstudio.com.

Support also comes from the 11,043 kind folks who support freeCodeCamp through a monthly donation. Join these kind folks and help our mission by going to https://www.freecodecamp.org/donate

Links we talk about during our conversation:

- Elliot's Mojo course on freeCodeCamp: https://www.freecodecamp.org/news/new-mojo-programming-language-for-ai-developers/

- Elliot's Cuda GPU programming course on freeCodeCamp: https://www.freecodecamp.org/news/learn-cuda-programming/

- Elliot's Python course on building an LLM from scratch: https://www.freecodecamp.org/news/how-to-build-a-large-language-model-from-scratch-using-python/

- Elliot's YouTube channel: https://www.youtube.com/@elliotarledge

- Elliot's many projects on GitHub: https://github.com/Infatoshi