Prompt engineering – effective communication with AI models

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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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-12-01
DOI
https://doi.org/10.19192/wsfip.sj4.2025.19
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Prompt engineering – effective communication with AI models

Konrad Hoza
SHILAP Revista de lepidopterología
Cognitive Computing and Networks
article

Prompt engineering – effective communication with AI models

Konrad Hoza
article en

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.

SHILAP Revista de lepidopterología
Silesian University of Technology (PL)
Quality Education
Openalex Percentile: Top 13%
Cognitive Computing and Networks
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