ChatGPT,了解更多语言模型的机会。

Q1 Social Sciences
Borui Zhang
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引用次数: 0

摘要

ChatGPT是一个领先的大型语言模型,自2022年底发布以来,它取得了一些超越以往语言模型的成功,引起了全世界的关注。商业和医疗保健专业领域对投资大型语言模型产生了浓厚的兴趣,以帮助在其专业领域进行各种信息搜索。在ChatGPT的影响下,搜索到的信息可能会以一种新的个性化的聊天格式接收,而不是传统的搜索引擎提供页面结果供用户评估和打开。大型语言模型和生成式人工智能为图书馆员提供了新的机会,使他们能够更多地了解语言模型的发展以及用户界面背后开发的语言模型的未来方向。了解语言模型如何影响信息交流,将丰富图书馆员检查人工智能输出质量的能力,以及对用户权利和数据管理政策的认识,以便在可预见的未来更好地协助用户使用语言模型的研究活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChatGPT, an Opportunity to Understand More About Language Models.

ChatGPT, a leading large language model, has achieved some success beyond previous language models and caught the world's attention since its release in late 2022. Businesses and healthcare professional fields have raised strong interests in investing in large language models to assist various kinds of information searching in their domain of expertise. Under the influence of ChatGPT, searched information may be received in a new personalized chat format, in contrast to the traditional search engines with pages of results for users to evaluate and open. Large language models and generative AI present new opportunities for librarians to understand more about language models' development as well as the future directions of the language models that are developed behind the user interfaces. Being aware of how language models impact the communication of information will enrich librarians' abilities to examine the quality of AI outputs and awareness of users' rights and data curation policies, to better assist patrons' research activities that involve using language models in the foreseeable future.

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来源期刊
Medical Reference Services Quarterly
Medical Reference Services Quarterly Social Sciences-Library and Information Sciences
CiteScore
4.00
自引率
0.00%
发文量
33
期刊介绍: This highly acclaimed, peer-reviewed journal is an essential working tool for medical and health sciences librarians. For those professionals who provide reference and public services to health sciences personnel in clinical, educational, or research settings, Medical Reference Services Quarterly covers topics of current interest and practical value in the areas of reference in medicine and related specialties, the biomedical sciences, nursing, and allied health. This exciting and comprehensive resource regularly publishes brief practice-oriented articles relating to medical reference services, with an emphasis on user education, database searching, and electronic information. Two columns feature the Internet and informatics education.
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