Language Transformer, ChatGPT and Other Natural Language Processing Machine Learning in Weather Enterprise


Description:

Have you used chatGPT in your environmental related projects or applications? Have you experimented with applying language models to your field of work? This session invites abstract submissions that have used ChatGPT or other language models in their line of work. Examples can include but are not limited to using ChatGPT to pull data, write code, issue statements, etc.


Papers:
Large Language Models for Classifying Flash Flood Impacts
Jorge Alberto Duarte, Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO), Norman, OK; and J. J. Gourley, H. Vergara, P. E. Kirstetter, and C. D. Nicholson

AI-Assisted Programming for Environmental Scientists
Myranda Uselton Shirk, Vanderbilt University, Nashville, TN

Leveraging Large Language Models for Providing User Support and Access to Forecast Products
Baudouin Raoult, ECMWF, Reading, United kingdom; and M. U. Shirk, P. Ferrarese, S. Lamy-Thepaut, H. Setchell, and G. Bighin

A Study on a Weather AI-Search Engine using Speech Recognition and Natural Language Processing
Hayan Shin, KMA, Seogwipo-si, Jeju, South korea; and C. Yang, B. Kim, C. Park, J. Joe, J. Choo, M. Seo, Y. H. Baek, H. Lee, and S. W. Ko

Submission Deadline: Thursday, 31 August 2023



See more of: 23rd Conference on Artificial Intelligence for Environmental Science
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