Improving LLM-based Ticket Classification
Based on the scenario, explain why the developer's current prompt is ineffective for this classification task. Then, propose a revised prompt that reframes the task to ensure the model consistently outputs only one of the three predefined category labels.
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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
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
Examples of Instruction-based Prompts for Polarity Classification
Example of a Prompt for Polarity Classification (Negative Sentiment)
Example of a Simple Prompt for Polarity Classification
An engineer needs to classify user feedback into one of three categories: 'Bug Report', 'Feature Request', or 'General Feedback'. To ensure the language model's output is strictly one of these labels, they decide to frame the problem as a sentence-completion task. Which of the following prompt structures best exemplifies this specific technique?
Improving LLM-based Ticket Classification
Rationale for Cloze-based Classification
Example of a Cloze-like Prompt for Polarity Classification