Few-Shot Learning

Putting examples in the prompt instead of training on them.

technique Prompting 4 relationships

Visão geral

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.

Grafo de tecnologias

Como Few-Shot Learning se liga ao resto do stack.

Usa e depende de

LLM concept Models Few-Shot Learning based on LLM High ✓ source

Aplicado a

Prompt Engineering technique Prompting Few-Shot Learning used for Prompt Engineering High ✓ source

Ferramentas

Software que implementa ou se integra com Few-Shot Learning.

Prompting

In-Context Learning

Alternativas

Zero-Shot concept
Uma alternativa a Few-Shot Learning · source

Comparações

Comparações detalhadas com as alternativas acima.

Few-Shot Learning vs Zero-Shot

Posição da tecnologia

AI
↓
Prompting
↓
technique
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Few-Shot Learning

Tecnologias relacionadas

In-Context Learning concept
LLM concept
Prompt Engineering technique
Zero-Shot concept

Recursos oficiais

Documentation

Última atualização: 2026-10-08
Última verificação: 2026-10-08

Fontes citadas

Cada relação nesta página inclui a sua fonte.

arxiv.org 4 claims