Managing the Prompt Creation Process

Ease of Generating Fine-Tuning Data from Existing NLP Tasks

Leveraging Existing Data for Prompt Creation

A development team wants to enable a new Large Language Model to perform high-quality sentiment analysis. Their strategy is as follows: first, they select a well-known public dataset containing thousands of movie reviews labeled as 'positive', 'negative', or 'neutral'. Next, they provide this dataset, along with a formal description of the sentiment analysis task, to a group of human writers. The writers are instructed to create a diverse set of natural language instructions that, when given a movie review, would guide the model to correctly classify its sentiment. Which of the following statements best characterizes this team's approach to creating prompts?

You are tasked with creating a set of prompts to make a Large Language Model perform text summarization. You decide to base your prompts on a well-established, existing dataset for this task. Arrange the following steps in the correct logical order to implement this strategy.