Softserve2024年掌握提示工程的艺术研究报告英文版12页

3.0 2025-05-15 18 0 1797 KB 12 页 PDF
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Softserve2024年掌握提示工程的艺术研究报告英文版12页
Softserve2024年掌握提示工程的艺术研究报告英文版12页
Softserve2024年掌握提示工程的艺术研究报告英文版12页
Softserve2024年掌握提示工程的艺术研究报告英文版12页
Softserve2024年掌握提示工程的艺术研究报告英文版12页
摘要:

MASTER THE ART OF PROMPT ENGINEERING Strategies for Optimization and EvaluationAuthors:Nazarii DrushchakNataliya PolyakovskaDmytro ZikrachWhite PaperMaster the Art of Prompt Engineering2Prompt engineering has emerged as a critical discipline in large language models (LLMs), which is pivotal in maximizing the effectiveness and reliability of AI-enabled systems. The essence of prompt engineering lies in crafting input queries that guide these models to generate desired outputs with precision. The quality and structure of these prompts strongly correlate with the performance, stability, fairness, and practical utility of LLM systems. In this paper, SoftServe delves into the multifaceted impact of prompt engineering, beginning with its foundational significance to enhance LLM operations. We explore how strategic prompt design improves the accuracy and relevance of model responses and drives business outcomes by enabling more sophisticated and context-aware AI applications. Beyond its dire

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Softserve2024年掌握提示工程的艺术研究报告英文版12页

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作者: 分类: 属性:12 页 大小:1797 KB 格式:PDF 时间:2025-05-15

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