Example of an Instruction for LLM-based Prompt Generation
An example template to directly instruct a Large Language Model to produce a prompt based on a task description is: You are given a task to complete using LLMs. Please write a prompt to guide the LLMs. *task-description*. This method provides a direct description of the task to the model.
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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
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Example of an Instruction for LLM-based Prompt Generation
A team is tasked with creating a system to summarize legal documents. To begin, they write a detailed, two-page description of the desired summary format, key information to include, and the target audience. They then input this description into a large language model with the instruction: 'Based on the provided document, generate a set of effective prompts for a summarization task.' When critiquing this team's strategy for creating an initial set of prompts, what is the most critical factor that will determine the success of their approach?
Troubleshooting Initial Prompt Generation
Evaluating a Prompt Generation Strategy
Learn After
A software development team wants to use a text-generating model to write user-friendly error messages for their application. However, the team lacks experience in crafting effective instructions for such a task. They decide to use a powerful, general-purpose model to help them create the necessary instructions first. Which of the following requests to the general-purpose model best demonstrates the strategy of using one model to generate instructions for another?
Prompt Generation for a Specialized Task
Crafting a Prompt-Generating Instruction