Zero-Shot

Überblick

Zero-shot means asking a model to do something it was not trained on and giving it no examples - only a description of the task. It solves the problem that every supervised approach needs labelled data for each new task, which does not scale to tasks nobody has collected data for. It exists as the capability that made general-purpose models useful, and as the upper bound that few-shot prompting is measured against.

Technologiegraph

Wie Zero-Shot mit dem übrigen Stack zusammenhängt.

Alternativen

• Few-Shot Learning technique

  Eine Alternative zu Zero-Shot · source

Vergleiche

Detaillierte Gegenüberstellungen mit den Alternativen oben.

• Few-Shot Learning vs Zero-Shot