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5min chapter
What, if anything, do AIs understand? (with ChatGPT Co-Creator Ilya Sutskever)
Clearer Thinking with Spencer Greenberg
How Deep Neural Networks Can Help You Train a System
The transformers came out in late 2017, so maybe five years ago. The main usefulness of the transformer comes from what may appear to be a technicality at a sufficiently high level like the conversation that we are having. Once you have deep networks, the number of steps that's afforded to the parallel computer increases significantly. And because of it, it can do a lot more. Then the main innovation of the transformer is that it lets you process long sequences of vectors in a very computer-efficient way and most crucially, in a way that's easy to learn for the learning algorithm.
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