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March 1, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Prompt engineering – effective communication with AI models

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KHKonrad Hoza

Key Points

  • The aim is to explore how prompt structure and precision impact AI response quality and coherence.
  • Review of prompt engineering techniques
  • Analysis of user interaction with AI models
  • Evaluation of response quality metrics
  • Identified key techniques for effective prompt engineering
  • Demonstrated links between prompt structure and response accuracy
  • Highlighted the importance of user understanding in generating relevant AI content

Abstract

The article presents prompt engineering as a key element of effective communication between the user and artificial intelligence models based on large language models. Current artificial intelligence is already able to create and deliver material tailored to real needs, but the user does not always have the right skills to obtain this material. The article presents the main techniques of prompt engineering. The article aims to identify the mechanisms by which the structure and precision of prompts affect the quality, accuracy, and coherence of generated responses. As a result, knowledge of the principles of designing effective instructions is just as important as understanding how the expected result functions as feedback.

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Cite This Study

Konrad Hoza (2025) studied this question.

synapsesocial.com/papers/69a3d8a7ec16d51705d2fa8ehttps://doi.org/10.19192/wsfip.sj4.2025.19
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