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A development team is tasked with finding the optimal prompt for a novel and complex text classification task. They plan to use an automated, multi-stage process that repeatedly evaluates, refines, and generates new prompts. Given that the team has very little prior experience with what constitutes a good prompt for this specific task, which of the following actions is the most critical first step to ensure their automated search process is effective?
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
Related
Manual Creation of Initial Prompts
LLM-based Prompt Generation from Input-Output Examples
LLM-based Prompt Generation from a Task Description
Comparison of LLM-based Prompt Generation Methods for Initialization
A development team is tasked with finding the optimal prompt for a novel and complex text classification task. They plan to use an automated, multi-stage process that repeatedly evaluates, refines, and generates new prompts. Given that the team has very little prior experience with what constitutes a good prompt for this specific task, which of the following actions is the most critical first step to ensure their automated search process is effective?
Starting a Prompt Optimization Project
An automated, iterative process is often used to discover effective prompts. Arrange the following fundamental stages of this process into the correct chronological order.