AI researchers looking for better ways to train large language models are turning to the masters of language acquisition – children – to find out how it's done.
In February, they trained a neural network on the experiences of a young child using 61 hours of video footage.
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That research, published in the journal Science, claimed the model was able to connect various words and phrases uttered by the subject to the experiences captured in the frames of the videos. Presented with a word or phrase, the model was able to recall relevant images.
https://www.science.org/doi/10.1126/science.adi1374#con2
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