The event will be held in English and run for one day, on October 9, 2026.

Generative AI can provide valuable support for many activities that surround academic work, such as generating ideas, structuring information or drafting and revising texts. However, the greatest benefits are often achieved when general-purpose large language models (LLMs) are tailored to specific tasks, contexts, and individual working styles. In this workshop, participants will learn how to design and build such customized AI chatbots.  

Participants will first gain an understanding of how customized chatbots work and what distinguishes them from general-purpose AI systems. Building on this foundation, they will identify relevant use cases from their own professional environments. Through guided exercises and peer feedback, participants will learn how to design effective prompts for customized chatbots and to structure knowledge sources to support chatbot performance. By the end of the workshop, each participant will have developed and tested an initial prototype of a customized chatbot that can be further refined and applied within their own professional practice.

Please note the following requirements for participation: you …

• are expected to have same prior experience in working with Generative AI
• need access to KIT’s AI platforms: KI Toolbox, MS CoPilot.
• will be asked to share the results of this workshop (e.g. prompts) with other participants.

This event is open to doctoral researchers and postdocs at KIT who are KHYS members. If you are currently not yet a member of KHYS, you can register here.

The event will be held in English and run for one day, on October 9, 2026.

We generally expect participants to attend throughout the entire duration of the event.

If you are unable to attend an event, please inform us promptly via email. This way you are allowing your colleagues the opportunity to participate and you help us to maintain the quality of our Further Education Program. Thank you!