Thus spoke GPT-3: Interviewing a large-language model on climate finance

Markus Leippold

Finance Research Letters, 2023, vol. 53, issue C

Abstract: 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.

Keywords: Climate change; Natural language processing; Large language models (search for similar items in EconPapers)
JEL-codes: C88 G00 G10 Q54 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:53:y:2023:i:c:s1544612322007930

DOI: 10.1016/j.frl.2022.103617

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