Date and Time:
Tuesday, March 19, 11:00 – 13:00

This workshop is hybrid (online and face-to-face).


In this workshop we will provide an introduction to large language models (LLMs) and ChatGPT in particular. The introduction describes the rise of artificial intelligence during the last decade and will explain key concepts in deep learning that are at the core of LLMs. The introduction will be followed by a hands-on part. First participants will get experience with prompt engineering in ChatGPT for digital forensics. The following applications will be part of the exercises: basic principles, zero-shot, few-shot and chain-of-thought prompting, summarization, brainstorming, data transformation and programming. In the second part participants will work with a code notebook and get firsthand experience running an open source LLM using Python and compare its performance against ChatGPT.

Preparation Details:

Participants are expected to bring a laptop, have internet connectivity, have registered with OpenAI to have (free) access to ChatGPT ( Participants should also have a Gmail account to have access to Google Colab ( or, alternatively, users with a powerful laptop can use their own Python IDE (e.g. Visual Studio Code: to run the notebooks locally.

Workshop organiser:

Hans Henseler, Gaëtan Michelet (University of Applied Sciences Leiden & NFI, The Netherlands; University of Lausanne, Switzerland)