Work

Local climate services for all, courtesy of large language models

Year: 2024

Type: article

Abstract: Large language models can summarize, aggregate, and convey localized climate-related data to people in a cost-effective and expeditious manner. We have built a simple, proof-of-concept prototype and argue that the approach holds the potential to truly democratize climate information. Large language models can summarize, aggregate, and convey localized climate-related data to people in a cost-effective and expeditious manner. This Comment introduces a simple, proof-of-concept prototype and argues that the approach holds the potential to truly democratize climate information.

Source: Communications Earth & Environment

DOI: 10.1038/s43247-023-01199-1

Authors: Nikolay Koldunov, Thomas Jung

Institutions: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, University of Bremen

Language: English

Topic: Climate Change Communication and Perception

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

SDG: Climate action

Open Access status: gold

Estimated APC paid: $3,290