A marketing team wants to classify customer reviews for a new coffee blend to specifically identify comments that praise its taste and aroma. Which of the following definitions for the 'Positive' category, when included in a classification prompt, would be most effective for achieving this specific goal?
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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A marketing team wants to classify customer reviews for a new coffee blend to specifically identify comments that praise its taste and aroma. Which of the following definitions for the 'Positive' category, when included in a classification prompt, would be most effective for achieving this specific goal?
Defining 'Positive' for a Non-Profit's Feedback Analysis
A software company wants to analyze user feedback to find bug reports submitted with a polite or appreciative tone, as they want to prioritize responding to these users first. They use a prompt that defines the 'Positive' category as: 'Indicates the user is happy or satisfied.' Why might this definition lead to poor results for their specific goal?