A developer needs a language model to classify customer feedback into one of three categories: 'positive', 'negative', or 'neutral'. The primary goal is to ensure the model's output is only one of these three words, without any additional explanation or conversational text. Which of the following instruction-based prompts is most effective for this specific requirement?
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models Course
Evaluation in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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Example of a Negative Input for Polarity Classification
Examples of Positive Inputs for Polarity Classification
Example of a Prompt with a Post-Input Instruction for Polarity Classification
A developer needs a language model to classify customer feedback into one of three categories: 'positive', 'negative', or 'neutral'. The primary goal is to ensure the model's output is only one of these three words, without any additional explanation or conversational text. Which of the following instruction-based prompts is most effective for this specific requirement?
Analyze the following instruction-based prompts designed for a text classification task. Match each prompt to the description that best characterizes its primary approach.
Improving a Faulty Classification Prompt