Prompt Engineering: Guiding the Way to Effective Large Language Models

Mohammad Aljanabi, M. Yaseen, Ahmed Hussein Ali, Mostafa Abdulghafoor Mohammed
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引用次数: 0

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.
提示工程:为建立有效的大型语言模型指引方向
大型语言模型(LLM)已成为自然语言处理、机器翻译和创意文本开发等各个领域的重要工具。然而,为了充分利用语言模型的能力,必须在人类和机器之间建立有效的沟通渠道。工程学科涉及创建结构合理、信息丰富的提示,它是人类意图与机器执行任务之间的重要纽带。本研究探讨了快速工程的概念,阐明了其基本概念、方法和各种实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.30
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0.00%
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