"The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models"

A visual canvas that turns messy prompt engineering into organized, effective LLM communication

→ The paper introduces the Prompt Canvas, a structured framework that organizes prompt engineering into four main categories: Persona/Role, Goal and Step-by-Step, Context and References, Format and Tonality

→ The canvas incorporates additional sections for Techniques and Tooling to provide practical implementation support

→ The framework is based on extensive literature review following PRISMA guidelines to ensure comprehensive coverage

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https://arxiv.org/abs/2412.05127

💡 Key Insights:

→ Chain-of-Thought prompting emerged as crucial for complex reasoning tasks

→ Role-based prompting significantly impacts output quality

→ Iterative optimization and feedback loops are essential for refining prompts

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📊 Results:

→ The canvas successfully consolidates over 108 different prompting techniques identified from systematic review

→ Framework validated through design-based research methodology

→ Demonstrates practical applicability across diverse domains including education, business, and software development