J9B Language Transformer, ChatGPT and Other Natural Language Processing Machine Learning in Weather Enterprise

Wednesday, 31 January 2024: 8:30 AM-10:00 AM
338 (The Baltimore Convention Center)
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 14th Conference on Transition of Research to Operations )
CoChair:
Anthony J. Wimmers, CIMMS, Meteorology, Norman, OK

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:
8:30 AM
J9B.1
Using a Large Language Model to Generate Text Weather Forecasts
Neil David Gordon, ScD MIT, Neil Gordon Consulting, Otaki, WGN, New zealand

Handout (8.9 MB)

8:45 AM
J9B.2
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

9:00 AM
J9B.3
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

J9B.4
Developing and Evaluating Meteorologically Fine-Tuned Large Language Models for Weather Safety Education

9:15 AM
J9B.5
AI-Assisted Programming for Environmental Scientists
Myranda Uselton Shirk, Vanderbilt University, Nashville, TN

9:45 AM
J9B.6
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

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
See more of: 23rd Conference on Artificial Intelligence for Environmental Science
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