Prompt Design and Engineering: Introduction and Advanced Methods

TL;DR

This paper introduces core concepts, advanced techniques, and tools for prompt design and engineering to enhance the effectiveness of large language models.

Contribution

It provides a comprehensive overview of prompt engineering methods, including advanced techniques and a survey of available tools.

Findings

Chain-of-Thought improves reasoning accuracy

Reflection techniques enhance model performance

A survey of prompt engineering tools is provided

Abstract

Prompt design and engineering has rapidly become essential for maximizing the potential of large language models. In this paper, we introduce core concepts, advanced techniques like Chain-of-Thought and Reflection, and the principles behind building LLM-based agents. Finally, we provide a survey of tools for prompt engineers.