Reframing Review Classification
Based on the provided scenario, formulate a complete instruction (a prompt) that would guide a large language model to classify the user review by generating a sentence or a descriptive phrase, rather than just a single-word label.
User Review: 'The movie was great, but it kept buffering every five minutes on my device.'
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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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