CUDA and GPU Programming with Elliot Arledge [Podcast #155]
664On 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.
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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
Can you guess what song I'm playing in the intro?
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: / @elliotarledge
Elliot's many projects on GitHub: https://github.com/Infatoshi
Chapters
0:00:00 Introduction to CUDA and GPU Programming
0:07:27 The Importance of GPUs in AI and LLMs
0:13:46 Learning Methodologies and Productivity Tips
0:21:21 The Role of Sleep in Learning and Productivity
0:26:39 Creating Educational Content
0:32:32 Overcoming Challenges in Learning
0:42:31 The Value of a Computer Science Degree
0:48:03 Balancing Education and Career Opportunities
0:53:45 The Future of AI and LLMs
0:59:59 Incremental Innovations in AI Models
1:07:18 Approaching Academic Papers with Confidence