Litcius/Paper detail

Prompt Engineering: Guiding the Way to Effective Large Language Models

Mohammad Aljanabi, Mohanad G. Yaseen, Ahmed Hussein Ali, Mostafa Abdulghafoor Mohammed

2023Iraqi Journal for Computer Science and Mathematics17 citationsDOIOpen Access PDF

Abstract

Large language models (LLMs) have become prominent tools in various domains, such as natural language processing, machine translation, and the development of creative text. Nevertheless, in order to fully exploit the capabilities of Language Models, it is imperative to establish efficient communication channels between humans and machines. The discipline of engineering involves the creation of well-constructed and informative prompts, which act as a crucial link between human intention and the execution of tasks by machines. The present study examines the concept of rapid engineering, elucidating its underlying concepts, methodologies, and diverse range of practical applications.

Topics & Concepts

ExploitComputer scienceMachine translationHuman languageNatural languageData scienceArtificial intelligenceHuman–computer interactionCognitive scienceLinguisticsComputer securityPsychologyPhilosophyAdvanced Data Processing TechniquesMachine Learning and Data Classification