Introduction to Tinygrad
Understanding Tinygrad can be hard, even Karpathy is a bit confused about it. This guide is my first attempt to navigate Tinygrad by synthesizing insights from official documentation and various livestreams.
Understanding Tinygrad can be hard, even Karpathy is a bit confused about it. This guide is my first attempt to navigate Tinygrad by synthesizing insights from official documentation and various livestreams.
This year, my focus is on exploring the intersection of AI, Machine Learning, and Neuroscience. I'll be diving deep into reading material and codebases to better understand both the natural and artificial cognition. The following lists outline the books, textbooks, and code that I'm currently learning from and probably you should too if you are interested in AI, more than just the hype and actually care about the future of the field.