Generative AI as a Supportive Tool for Scientific Research

Abraham Itzhak Weinberg

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

This chapter Abrahamaims to bridge the gap between the theoretical potential of Generative AI (GAI) tools, such as Generative Pretrained Transformer (GPT), and their practical applications as supportive tools for scientific research. The chapter provides approaches and techniques for leveraging GAI to address research challenges and activities. It describes common research tasks and provides guidance on how to use GPT to solve them. To the best of our experience, at the current stage, the integration of researchers and GPT has the potential to yield better results than either could achieve alone. Furthermore, the increasing availability of GPT tools suggests that the synergy between the two will continue to improve research output quality and save time. The key to successful integration lies in the appropriate use of GPT that can be achieved by directing AI tools to solve tasks effectively and using prompt engineering techniques.

Original languageEnglish
Title of host publicationApplications of Generative AI
PublisherSpringer International Publishing
Pages1-21
Number of pages21
ISBN (Electronic)9783031462382
ISBN (Print)9783031462375
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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