Zero-Shot Learning vs. Few-Shot Learning vs. Fine-Tuning: A technical walkthrough using OpenAI's APIs & models
With large language models (LLMs) gaining popularity, new techniques have emerged for applying them to NLP tasks. Three techniques in particular — zero-shot learning, few-shot learning, and fine-tuning — take different approaches to leveraging LLMs. In this guide, we’ll walk through the key difference between these techniques and how to implement them.
We’ll walk through a case study of extracting airline names from tweets to compare the techniques. Using an entity extraction dataset, we’ll be
