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Published at December 6The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models
cs.AI
Released Date: December 6, 2024
Authors: Michael Hewing1, Vincent Leinhos1
Aff.: 1FH Münster – University of Applied Sciences

| No. | Reference | Title |
|---|---|---|
| 1 | Braun et al. (2024) | Can (A)I Have a Word with You? A Taxonomy on the Design Dimensions of AI Prompts |
| 2 | Schulhoff et al. (2024) | The Prompt Report: A Systematic Survey of Prompting Techniques |
| 3 | Sahoo et al. (2024) | A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications |
| 4 | Sasson Lazovsky et al. (2024) | The Art of Creative Inquiry—From Question Asking to Prompt Engineering |
| 5 | White et al. (2023) | A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT |