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Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication
April 24, 2024, 4:47 a.m. | John R. Lawson, Montgomery L. Flora, Kevin H. Goebbert, Seth N. Lyman, Corey K. Potvin, David M. Schultz, Adam J. Stepanek, Joseph E. Trujillo-Falc\'o
cs.CL updates on arXiv.org arxiv.org
Abstract: Generative AI, such as OpenAI's GPT-4V large-language model, has rapidly entered mainstream discourse. Novel capabilities in image processing and natural-language communication may augment existing forecasting methods. Large language models further display potential to better communicate weather hazards in a style honed for diverse communities and different languages. This study evaluates GPT-4V's ability to interpret meteorological charts and communicate weather hazards appropriately to the user, despite challenges of hallucinations, where generative AI delivers coherent, confident, but …
abstract analysis arxiv capabilities communication cs.ai cs.cl discourse forecast forecasting generative gpt gpt-4v hazards image image processing language language model language models large language large language models natural novel openai physics.ao-ph pixels predictions processing style type weather
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