{"title":"Prompt engineering – a disruption in information seeking?","authors":"Donna Frederick","doi":"10.1108/lhtn-03-2024-0037","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this column is to inform librarians and other information professionals about prompt engineering (PE) and to challenge them to consider how it relates to the work that they are doing and consider if it might enhance their current ability to serve users.\n\n\nDesign/methodology/approach\nPE is a new job category in the fields of technology and artificial intelligence. Prompt engineers use various approaches to elicit the best possible outputs from large language module technologies such as ChatGPT. This column examines the various elements present in effective prompts and how the skills, knowledge and abilities relate to the work that librarians already do, where there are disruptions and how the field of library and information science may approach studying the emergence and effectiveness of PE in resolving information needs.\n\n\nFindings\nWhile PE shares many of the goals, procedures and skillsets that librarians already know and use, it is a disruption in information-seeking processes. It is a highly complex undertaking that requires a mix of knowledge, skills and abilities. If done well, PE will allow information seekers to achieve a whole new level of results both in terms of the information retrieved and the content that is produced based on that information.\n\n\nOriginality/value\nLibrarians are currently generally not considered to be prime candidates for PE positions. However, this column introduces the idea that many librarians already have the knowledge, skills, abilities and aptitude to do PE. This may be as prompt engineers or by integrating PE into their existing professional practice.\n","PeriodicalId":39748,"journal":{"name":"Library Hi Tech News","volume":"341 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Library Hi Tech News","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/lhtn-03-2024-0037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The purpose of this column is to inform librarians and other information professionals about prompt engineering (PE) and to challenge them to consider how it relates to the work that they are doing and consider if it might enhance their current ability to serve users.
Design/methodology/approach
PE is a new job category in the fields of technology and artificial intelligence. Prompt engineers use various approaches to elicit the best possible outputs from large language module technologies such as ChatGPT. This column examines the various elements present in effective prompts and how the skills, knowledge and abilities relate to the work that librarians already do, where there are disruptions and how the field of library and information science may approach studying the emergence and effectiveness of PE in resolving information needs.
Findings
While PE shares many of the goals, procedures and skillsets that librarians already know and use, it is a disruption in information-seeking processes. It is a highly complex undertaking that requires a mix of knowledge, skills and abilities. If done well, PE will allow information seekers to achieve a whole new level of results both in terms of the information retrieved and the content that is produced based on that information.
Originality/value
Librarians are currently generally not considered to be prime candidates for PE positions. However, this column introduces the idea that many librarians already have the knowledge, skills, abilities and aptitude to do PE. This may be as prompt engineers or by integrating PE into their existing professional practice.
目的本专栏的目的是向图书馆员和其他信息专业人员介绍提示工程(PE),让他们思考提示工程与他们正在从事的工作之间的关系,并考虑提示工程是否能提高他们目前为用户提供服务的能力。提示工程师使用各种方法从大型语言模块技术(如 ChatGPT)中获得最佳输出。本专栏研究了有效提示中的各种要素,以及这些技能、知识和能力与图书馆员现有工作的关系,在哪些方面存在干扰,图书馆和信息科学领域可以如何研究 PE 在解决信息需求方面的出现和有效性。研究结果虽然 PE 与图书馆员已经知道和使用的许多目标、程序和技能组合相同,但它是对信息搜索过程的一种干扰。它是一项非常复杂的工作,需要综合的知识、技能和能力。如果做得好,PE 将使信息搜索者在检索信息和根据信息制作内容方面取得全新的成果。然而,本专栏提出了一个观点,即许多图书馆员已经具备了从事 PE 工作的知识、技能、能力和天资。这可能是作为及时的工程师,也可能是将体育纳入其现有的专业实践。
期刊介绍:
Library Hi Tech News (LHTN) helps busy professionals stay abreast of current events and developments in the library and information industry. LHTN publishes articles of varying lengths, reports from relevant conferences, and case studies of how technology is used in the library. The Editors work closely with authors who are new to publishing, and those who are seeking outlets for reporting on practical uses of IT in libraries. Publishing your article in LHTN can be "a place to start," analogous to a "poster session in print", and does not preclude publishing a more fulsome piece in a peer-reviewed journal at a later date. Readers consider LHTN as the source from which to hear what’s coming next in terms of technology development for academic and public libraries.