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Kurs: 03-IMVA-DOMA Domains Matter: Understanding their Influence on Natural Language Interaction - Details

Kurs: 03-IMVA-DOMA Domains Matter: Understanding their Influence on Natural Language Interaction - Details

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Veranstaltungsname Kurs: 03-IMVA-DOMA Domains Matter: Understanding their Influence on Natural Language Interaction
Untertitel
Veranstaltungsnummer 03-IMVA-DOMA
Semester WiSe 2025/2026
Aktuelle Anzahl der Teilnehmenden 36
Heimat-Einrichtung Informatik
Veranstaltungstyp Kurs in der Kategorie Lehre
Nächster Termin Donnerstag, 11.12.2025 12:00 - 14:00, Ort: MZH 1100
Art/Form
Englischsprachige Veranstaltung Ja
ECTS-Punkte 6

Räume und Zeiten

MZH 1100
Donnerstag: 12:00 - 14:00, wöchentlich (14x)
MZH 1450
Donnerstag: 14:00 - 16:00, wöchentlich (14x)

Modulzuordnungen

Kommentar/Beschreibung

Schwerpunkt: IMVA-DMI, IMVA-AI
Abstract: The shift towards human-like interaction with computers through voice and text has made large language models like ChatGPT and Gemini a part of everyday life. While these open-domain chatbots are powerful, their "one-size-fits-all" approach often leads to user frustrations, including the need for overly specific prompts, irrelevant or verbose responses, and a lack of critical context.
Often, domain-specific interfaces are important for improving user experience. This offers the opportunity to build specific user interfaces or manipulate the language depending on the domain. We will explore how adapting natural language interfaces to specific fields (e.g., medical advice or creative writing) can resolve these common issues. In the seminar, students will investigate a specific research question, analyze relevant academic literature, and then design, implement, and evaluate a novel domain-specific user interface. The goal is to move beyond generic chatbots and create more intelligent, context-aware, and effective natural language tools.

We will work very hands-on and will have many sessions where we implement something. For the first session bring a laptop. You should have a GitLab account and Python (version 3.10 or later) installed on your computer. The course combines research with development, and each student has to give a presentation in the course and develop a prototype.

Anmeldemodus

Die Auswahl der Teilnehmenden wird nach der Eintragung manuell vorgenommen.

Nutzer/-innen, die sich für diese Veranstaltung eintragen möchten, erhalten nähere Hinweise und können sich dann noch gegen eine Teilnahme entscheiden.