Study Project: LLMs for Science (Part I)

Sebastian Musslick

Veranstaltungstyp: Studienprojekt
TeilnehmerInnen:

Beschreibung:
In study project, students will explore the intersection of artificial intelligence and scientific research by designing an advanced system that integrates Large Language Models (LLMs) with federated data sources. Through hands-on collaboration, students will build and deploy AI models capable of analyzing scientific data across various local datasets without violating data protection ethics and regulations.
Students will focus on two key areas: (1) evaluating the ethical considerations surrounding the use of LLMs in federated environments, such as data privacy and fairness, and (2) applying state-of-the-art AI techniques to develop models that can autonomously assess how new research fits into existing scientific literature. This includes the ability to interpret plots, tables, and text, and generate summaries or opinions on their significance in the broader scientific context.
By the end of the course, we aim to develop an AI system that not only simplifies the process of scientific analysis but also upholds ethical standards in its operation.

Prerequisites

Students are require to have taken the following courses. That said, if you haven't attended these classes but think that you have the necessary background knowledge, we encourage you to come to the first session.

**Any of the following, if you want to be part of the programming team:**
- Algorithmen und Datenstrukturen (or equivalent)
- Scientific Programming in Python (or equivalent)
- AI and the Web (or equivalent)
- Deep Learning for Natural Language Processing (or equivalent)
- Implementing ANNs with Tensorflow (or equivalent)
- Machine Learning in Cognitive Computational Neuroscience
- Projects at the Intersection of Neuroscience and Machine Learning
- Emergent Behaviors in a Multi-Agent System with Reinforcement Learning
- Modelling in Cognitive Neuroscience
- Advanced Natural Language Processing (or equivalent)

**Any of the following, if you want to be part of the ethics team:**
- Introduction to the Ethics of AI (or equivalent)
- Discrimination and AI
- The ethics of 'Deathbots'
- Digital Capitalism, Big Data and AI
- Critical Perspectives on AI

Erstes Treffen:
Freitag, 01.11.2024 10:00 - 12:00, Ort: 66/E34

Ort:
66/E34

Semester:
WiSe 2024/25

Zeiten:
Fr. 10:00 - 12:00 (wöchentlich) - Weekly Meeting - Coppenrath Innovation Centre, Fr. 10:00 - 12:00 (wöchentlich) - Seminar

Leistungsnachweis:


Veranstaltungsnummer:
8.3089

ECTS-Kreditpunkte:
12

Bereichseinordnung:
Veranstaltungen > Cognitive Science > Master-Programm Courses in English > Human Sciences (e.g. Cognitive Science, Psychology)