A customized RAG chatbot for students

Students are using various LLMs for educational purposes, yet the tendency of LLMs to hallucinate and make errors, can be worrisome for a teacher. However, RAGs can enhance the quality of chatbot outputs, by constraining how the answers are constructed. In this talk I present how a) we relied on Microsoft Azure to build a customized RAG chatbot for 550 Philosophy of Science students in the Spring 2024, b) we document the quality of the answers provided by the chatbot, and how c) students perceived and used the customized chatbot. Establishing how to optimize such offerings and what the boundary conditions are at the centre of our current attention, while we currently build similar large-scale RAGs for Organizational Behavior and Math courses. 

This talk will be given by Carsten Bergenholz, Aarhus University, Department of Management, in collaboration with Oana Vuculescu and Niels Lauritzen.

The Center for Language Generation and AI at Aarhus University is committed to fostering the interchange of ideas and support for researchers in the area of language generation and AI. By opening our biweekly talks to the public, we aim to create a platform for knowledge sharing and collaboration among researchers, students, and the broader community.

These talks will be conducted virtually, allowing attendees from around the world to participate. Registration details and links to join each talk will be provided on our website. All talk will take place at 13:30 (CEST) on Zoom. The link is: https://aarhusuniversity.zoom.us/j/66002478758

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For media inquiries and questions, please contact: pascale.moreira@cc.au.dk