Presenters-0673

From CSDMS
CSDMS 2025: Exploring Earth's Surface with Models, Data & AI


Get lazy with LLMs



Allen Lee

Arizona State University, United States
allen.lee@asu.edu
Scott Foster ASU United States
Anton Suharev ASU United States
Mark Piper CSDMS United States


Abstract
Large Language Models (LLMs) have been rolling on the hype train since ChatGPT-3.5 was first introduced in November 2022. Hop onboard with an interactive hands-on clinic where we’ll collectively explore how to use LLMs to be more efficient (aka lazy) in our research software development and computational modeling work.

Participants will engage in interactive prompt engineering with commercial LLMs (e.g., ChatGPT, perplexity, Google NotebookLM). We will explore how to fine tune prompts to learn about new topics, summarize, assess, or evaluate texts, and generate possibly useful research software artifacts: documentation, tests, containerization recipes, shell scripts, etc. If all goes well we hope to develop a curated LLM prompts / recipes repository tailored to the CSDMS / CoMSES communities with all of your properly credited contributions.

All are welcome from LLM novices to seasoned prompt engineer pros. Bring the burning questions you haven’t had the energy to figure out and we’ll see what the allegedly hitherto sum of human knowledge has to statistically say about it.

Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.

Of interest for:
  • Terrestrial Working Group
  • Coastal Working Group
  • Marine Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative