Why use Large Language Models like GPT in science and what can they be used for? An introduction

Veranstaltungsinhalt

Interactive Live Online Lecture

Large Language Models have fundamentally changed how researchers retrieve information, generate ideas, and communicate science — yet most scientists use only a fraction of what these assistants can do.

This interactive lecture provides a structured overview of the current AI landscape for researchers, covering the critical distinction between production assistants (e.g. Claude, ChatGPT) and information retrieval assistants (e.g. Perplexity) for sourced scientific information. Participants will learn practical context engineering, explore how local AI models can protect sensitive research data, and discover applications across the full research workflow — from literature review and brainstorming through data visualization to scientific writing and career development. I

Informationen zur Veranstaltung

Max. Anzahl Teilnehmer*innen

130

Trainer*innen

Prof. Dr. Daniel Mertens

Beschreibung