The study explores the role of bifurcations in recurrent neural networks (RNNs) training. Bifurcations refer to changes in a system’s dynamical behavior as its parameters are varied. The authors mathematically…
Continue readingThis academic article delves into the computational capabilities of language models based on recurrent neural networks (RNNs). It extends the Turing completeness, a concept showing the computational potential of a…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
