AI Feature Development Strategy

A startup has a powerful, general-purpose language model and needs to quickly deploy a system to classify customer support emails into 5 new, company-specific categories. They have a very limited budget and have only managed to label 20 examples in total (4 for each category). Given these constraints, which approach represents the most effective and efficient initial strategy for adapting their model to this task?

Analyze the following scenarios for adapting a large language model to a new task. Match each scenario with the most appropriate learning approach it describes.

Example of a Zero-Shot Prompt for Polarity Classification (Positive Sentiment on Food)

Zero-Shot Learning Execution in LLMs