Example of a Prompt for Classification via Completion

A developer is building a system to categorize user reviews as either 'Positive' or 'Negative'. A traditional approach would involve a model that outputs a single, predefined label (e.g., the word 'Positive'). How does reframing this task as a text generation problem for a large language model fundamentally change the model's expected output?

Reframing Review Classification

Prompt Design for Generative Classification