Softserve:2024年掌握提示工程的艺术研究报告(英文版)(12页).pdf

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Softserve:2024年掌握提示工程的艺术研究报告(英文版)(12页).pdf

1、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 maximiz

2、ing 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 pr

3、actical 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 ou

4、tcomes by enabling more sophisticated and context-aware AI applications.Beyond its direct benefits,prompt engineering serves as a lens through which the nuances of human-AI interaction and communication become apparent,offering insights into how models perceive and process natural language inputs.A

5、critical aspect of harnessing the potential of prompt engineering involves the evaluation of prompt effectiveness.SoftServe discusses various techniques to assess and measure the impact of different prompts on model performance,providing a framework for continuous improvement and optimization.Moreov

6、er,we outline strategies for improvement prompts to align closely with specific goals and use cases,demonstrating how incremental adjustments will yield significant improvements in results.In this paper,SoftServe will highlight the paramount importance of prompt engineering in using LLMs to their fu

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