Effective Prompting

In this workshop, you will learn how to write effective prompts and bring together the optimal context for generative AI applications like ChatGPT, Claude or Gemini. We start by exploring how Large Language Models and AI agents actually work and what this means for our interactions with them.

Next, through a series of demonstrations and practical exercises, you'll gain hands-on experience with prompt and context engineering. Prompt engineering will teach you how to write good prompts (by setting clear instructions, breaking down complex tasks, giving examples, prompting for verification, etc.), while context engineering helps you bring together the right context (including custom instructions, chat history, tool use, etc.) so that the model has access to all the information it needs to solve your task. Through a series of GenAI tasks relevant to academic research, we'll also explore strategies for working with AI agents and avoiding hallucinations.

We conclude the workshop by addressing some of the broader challenges and responsibilities that come with using generative AI in academia, from its environmental impact to questions around plagiarism, intellectual property and academic integrity.

Dates and location:

Trainer:

Yves Peirsman

Language:

English

Docop-points:

0,4 points

Registration:

Via Sisa Self Service. Log in with your student account. Registration is possible as from 3 September 2026 and after you've been (re-)enrolled as a PhD student for academic year 2026-2027.