Large Language Models as Zero-shot Labelers

Using LLMs to obtain labels for supervised models

Photo by h heyerlein on Unsplash

Introduction

Labeling data is a critical step in building supervised machine learning models, as the quantity and quality of labels is often the main factor that determines model performance.