These are composed into a single vector representing position by a similarity-preserving, conjunctive vector-binding operation.

Calibration is a well-studied property of predictors which guarantees meaningful uncertainty estimates.

Large language models (LLMs) are trained on a deluge of text data with limited quality control. As a result, LLMs can exhibit unintended or even harmful behaviours, such as leaking information, fake news or hate speech.

Learning (GCL) frameworks are hampered by the specificity, complexity, and incompleteness of their GA techniques.