Tag: materials

Talk – Prompting AI – July 15, 2025

I gave a talk for faculty and staff on how to prompt AI to get better results. We covered the background of AI, explained LLMs and their data, and discussed the increasingly common caveats and societal concerns with blindly using chatbots like ChatGPT, Claude, etc. We then covered the essentials of prompt engineering, with beginner and advanced tips.

The talk was mostly focused on summarizing, investigation, and brainstorming tasks, not on improving day-to-day mundane tasks such as automated e-mail handling and such. (That will be a future talk!)

Key slides related to the prompting part of the talk are linked below:

Slides – Prompting AI for Faculty/Staff – July 15, 2025

These materials are part of workshops and talks I give as part of my role as Faculty Fellow of the Dominguez Center for Data Science.

Prompt Engineering, Presented to Faculty/Staff at Bucknell University, July 15, 2025. ©2025 by Brian R. King, licensed under CC BY-NC-SA 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/

Workshop – Demystifying AI – May 23, 2025

The links below are to Python notebooks for each section of the workshop. Open the notebook, which will take you to a Google Drive link that is a read-only version of the notebook. Open the link, save a copy of the notebook file in your Drive space, and open it in Google Colab. You can also run the file locally on your own machine if you have a complete Python environment installed with Jupyter/JupyterLab or an editor that lets you edit Jupyter notebooks. All notebooks were tested on both Google Colab and natively.

These materials are part of workshops taught in my role as Faculty Fellow of the Dominguez Center for Data Science.

Workshop – Demystifying AI, Presented at Bucknell University, May 23, 2025. ©2025 by Brian R. King, licensed under CC BY-NC-SA 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/