MeetingMate: From Conversations to Action with Prompt Engineering

Together with hessian.AI we offer three half day workshops related to coding and AI. Participants of these workshops will learn the fundamentals of deep learning, get practical insights into prompt engineering using meeting transcripts and get a glimpse on AI agents. These workshops are designed for researchers who already have basic coding experience (e.g., in Python or R) and want to apply AI tools in their research workflow. Please note: As part of the HeFDI Code School, our Expert tracks are tailored specifically for researchers building up their programming skills alongside their domain research, not for professional software developers or computer scientists.

In this hands-on workshop, you will get an insight of the principles of prompt engineering by turning raw meeting transcripts into structured, actionable outcomes. Using Large Language Models, you will learn how to extract key decisions and generate clear action items, while discovering how subtle changes in instructions, context, and output formatting directly shape the quality of AI results.

Together, we will combine summarization, action-item extraction, and simple memory features into a practical, notebook-based workflow that streamlines post-meeting tasks. By the end of the session, you will have concrete skills and reusable patterns to build automated meeting assistants for your own workflows.

Please note: There will be a lunch break from 12:00 PM to 1:00 PM during this workshop.

Your Benefits

• Gain hands-on experience with prompt engineering using meeting transcripts as a practical use case.
• Learn to generate structured summaries, decisions and action items using large language models.
• Explore how instructions, context and output formats influence the quality of AI-generated results.
• Combine summarisation, action-item extraction and simple memory into a notebook-based meeting workflow.

Instructor

The instructor is Kajol Raju, AI expert at the AI Service Centre (hessian.AI) specializing in providing AI computing infrastructure through application-oriented AI research.

Language

Workshops will be held in English.

Prerequisites

Basic Python knowledge and familiarity with Jupyter notebooks.

Registration

You can register for this workshop and the other workshops of this Expert Track under the following link: https://redcap.kks.uni-marburg.de/surveys/?s=M8CC7REP3D333HC7.

Publications

TBA