A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Abstract: Deep neural networks (DNNs) struggle to learn in dy-namic settings because they mainly rely on static datasets. Continual learning (CL) aims to overcome this limitation by enabling DNNs to ...

Abstract: Data encoding is a key step in almost all ap-plications of quantum computation, but one that is not very well understood in general. Extensively researched in quantum machine learning, it is ...