Lunch & Learn | Data Snacks

Making the Most of Large Language Models in Scientific Programming

WHAT’S THIS SESSION ABOUT?

This session focuses on the use of Large Language Models (LLMs) in coding workflows, but many of the insights are valuable for anyone interested in using LLMs in scientific research.

Whether you're just starting out or already comfortable writing code, LLMs can assist with generating, debugging, and improving code. But using them effectively requires more than just copying suggestions. In this DataSnack, Annika helps to unpack how these models work, where they excel, where caution is needed – and why LLMs are fundamentally changing scientific programming across disciplines. She will offer a practical look at what LLMs can (and can't) do, how to craft better prompts for coding support, and what it means to use them responsibly in research. More snack-sized insights for big AI questions include choosing the right model or feature, and ensuring data security and privacy.

ABOUT THE SPEAKER

Annika Nolte is a data scientist for training and consulting at the DSC. She holds a master's degree in Environmental Sciences from the Technical University of Braunschweig (2019). She has over five years of experience in scientific programming, with a focus on data management and processing, hydroinformatics, geospatial analysis, and the application of AI in environmental modeling. In training and consulting, Annika draws on her research background and broad interdisciplinary expertise in Earth system sciences.

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WHERE AND WHEN?

The info event will take place from 1:00 to 1:30pm via Zoom. There will be a 15-20 minute presentation followed by an open forum for questions and discussion. We look forward to exciting discussions!

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