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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Thus spoke GPT-3: Interviewing a large-language model on climate finance
Organization Unit
  • Markus Leippold
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Journal Title Finance Research Letters
Publisher Elsevier
Geographical Reach international
ISSN 1544-6123
Volume 53
Page Range 103617
Date 2023
Abstract Text This paper is an interview with a Large Language Model (LLM), namely GPT-3, on the issues of climate change. The interview should give some insights into the current capabilities of these large models which are deep neural networks with generally more than 100 billion parameters. In particular, it shows how eloquent and convincing the answers of such LLMs can be. However, it should be noted that LLMs can suffer from hallucination and their responses may not be grounded on facts. These deficiencies offer an interesting avenue for future research.
Free access at DOI
Official URL
Digital Object Identifier 10.1016/
Other Identification Number merlin-id:23144
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