Backpropagation is how neural networks learn from mistakes by working backward through the network to figure out which parts caused the error. When the network makes an incorrect prediction, it calculates how much each connection contributed to that mistake, then adjusts those connections to improve the result.
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How early cognitive research funded by the NSF paved the way for today’s AI breakthroughs—and how AI is now inspiring new understandings of the human mind.
How early cognitive research funded by the NSF paved the way for today’s AI breakthroughs—and how AI is now inspiring new understandings of the human mind.

Scholars develop a new framework that optimizes compound AI systems by backpropagating large language model feedback.
Scholars develop a new framework that optimizes compound AI systems by backpropagating large language model feedback.