Few-Shot Learning

Überblick

Few-shot learning supplies a handful of worked examples in the prompt so the model infers the task from them without any weight update. It solves the problem that fine-tuning needs labelled data, a training run and a deployment per task, while many tasks are simple enough to demonstrate in a paragraph. It exists because it emerged from scale rather than design: the capability appeared in large models that were never trained for it.

Technologiegraph

Wie Few-Shot Learning mit dem übrigen Stack zusammenhängt.

Werkzeuge

Software, die Few-Shot Learning implementiert oder integriert.

Alternativen

• Zero-Shot concept

  Eine Alternative zu Few-Shot Learning · source

Vergleiche

Detaillierte Gegenüberstellungen mit den Alternativen oben.

• Few-Shot Learning vs Zero-Shot