Zitationshinweis
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-101393-6
Export für Ihre Literaturverwaltung
Overview of Large Language Models for Social and Behavioral Scientists
[Arbeitspapier]
Körperschaftlicher Herausgeber
GESIS - Leibniz-Institut für Sozialwissenschaften
Abstract In this guide, we give an overview of different large language models (LLMs) and their uses for research in the social and behavioral sciences. This guide does not only introduce essential concepts necessary to understand and think about this promising new type of resource but also serves as a pract... mehr
In this guide, we give an overview of different large language models (LLMs) and their uses for research in the social and behavioral sciences. This guide does not only introduce essential concepts necessary to understand and think about this promising new type of resource but also serves as a practical guide for navigating the ever-changing landscape of available models and supports researchers in picking the best option for their needs. To account for some of the challenges and risks associated with the use of LLMs, this guide features discussions of issues like replicability, transparency, and generalizability.... weniger
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Freie Schlagwörter
large language models, LLMs; generative language models; machine learning; model performance; benchmarking
Sprache Dokument
Englisch
Publikationsjahr
2025
Erscheinungsort
Köln
Seitenangabe
21 S.
Schriftenreihe
GESIS Guides to Digital Behavioral Data, 16
Status
Veröffentlichungsversion; begutachtet