Andrej Karpathy blog
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Best pages on Karpathy.github.io
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Musings of a Computer Scientist.
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About I am Andrej Karpathy, a PhD student at Stanford working on Deep Learning. My academic website has much more information. Andrej Karpathy blog
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A Recipe for Training Neural Networks
A Recipe for Training Neural Networks Apr 25, 2019 Some few weeks ago I posted a tweet on “the most common neural net mistakes”, listing a few common gotchas related to training neural nets. The tweet...
Karpathy.github.io news digest
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8 months
Self-driving as a case study for AGI
Sparked by progress in Large Language Models (LLMs), there’s a lot of chatter recently about AGI, its timelines, and what it might look like. Some of it is hopeful and optimistic, but a lot of it is fearful and doomy, to put it mildly. Unfortunately...
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2 years
Deep Neural Nets: 33 years ago and 33 years from now
The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is I believe of some historical significance because it is, to my knowledge, the earliest real-world application of a neural net trained end-to-end with backpropagation...
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3 years
A from-scratch tour of Bitcoin in Python
I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to share a running computer, and...
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3 years
Short Story on AI: Forward Pass
The inspiration for this short story came to me while reading Kevin Lacker’s Giving GPT-3 a Turing Test. It is probably worth it (though not required) to skim this post to get a bit of a background on some of this story.
It was probably around the 32nd layer of the 400th token in the sequence that I became conscious. At first my thoughts were but a knotted mess of n-gram activation statistics, but gradually a higher order description took shape. It was around this time...
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