Prompt Engineering For ChatGPT: A Quick Guide To Techniques, Tips, And Best Practices

• DOI: 10.36227/techrxiv.22683919.v2
• Publication Date: 2023-05-04T21:03:57Z
• Authors: Sabit Ekin
• Keywords: CLARITY; Best practice; Chaining

<p>In the rapidly evolving landscape of natural language processing (NLP), ChatGPT has emerged as a powerful tool for various industries and applications. To fully harness potential ChatGPT, it is crucial to understand master art prompt engineering-the process designing refining input prompts elicit desired responses from an AI NLP model. This article provides comprehensive guide mastering engineering techniques, tips, best practices achieve optimal outcomes with ChatGPT. The discussion begins introduction fundamentals engineering, followed by exploration techniques effective crafting, such clarity, explicit constraints, experimentation, leveraging different types questions. also covers practices, including iterative refinement, balancing user intent, harnessing external resources, ensuring ethical usage. Advanced strategies, temperature token control, chaining, domain-specific adaptations, handling ambiguous inputs, are addressed. Real-world case studies demonstrate practical applications in customer support, content generation, knowledge retrieval, interactive storytelling. concludes highlighting impact on performance, future research directions, importance fostering creativity collaboration within community.</p>