Large Language Models (LLMs) like GPT-3 or GPT-4 have greatly advanced the state-of-the-art in computational linguistics and natural language processing. For the first time in the history of this field, there seems to be a technology that comes close to human language use in various kinds of situations and tasks. For this reason, LLMs have recently received interest from linguistic research: linguistic researchers are currently debating to what extent LLMs can be seen as a model of the human ability to process language and use it for communication. In this research-oriented seminar, we will first cover some computational basics of LLMs and then dive into this debate: what do LLMs know about human language and how can we test this? How can we use insights and experimental designs from linguistic research to study LLMs? And maybe: how can we use LLMs to learn something about human language?
This class targets an interdisciplinary audience of computationally-minded and linguistically-minded students, including PhD students.
Basic knowledge of (python) programming and machine learning will help but is not strictly necessary.
Rhythmus | Tag | Uhrzeit | Format / Ort | Zeitraum | |
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wöchentlich | Mo | 14-16 | 07.10.2024-31.01.2025 |
Modul | Veranstaltung | Leistungen | |
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23-LIN-Inf Computerlinguistische Grundlagen für Informatik-Studierende | Veranstaltung aus dem Bereich computerlinguistische Grundlagen | Studienleistung
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Studieninformation |
- | benotete Prüfungsleistung | Studieninformation | |
23-LIN-MaCL-MethAngewCL Methoden der angewandten Computerlinguistik | Lehrveranstaltung 1 | Studienleistung
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Studieninformation |
Lehrveranstaltung 2 | Studienleistung
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Studieninformation | |
39-M-Inf-INT-adv Advanced Interaction Technology | Advanced Interaction Technology: Seminar 1 | Studienleistung
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Studieninformation |
Advanced Interaction Technology: Seminar 2 | benotete Prüfungsleistung
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Studieninformation |
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