Organization
All information will be distributed via the Moodle eLearning platform.
Timetable:
The first sessions will consist of introductory lectures to cover the basics of machine learning methods used for NLP tasks. The program for the remainder of the seminar will be determined according to the number of participants..
Teaching Staff
- Nico Daheim
- Prof. Dr. Iryna Gurevych
Course content
Text Analytics: Generative AI
The field of Generative Artificial Intelligence (Generative AI) has witnessed remarkable advancements in recent years, driven primarily by the advent of sophisticated generative models. These breakthroughs have unleashed the potential for creativity and innovation across a wide spectrum of domains, including art, text, music, and much more. In this seminar, we delve into the cutting-edge research and applications within Generative AI, offering an exploration of its transformative capabilities.
Generative AI refers to a burgeoning area in artificial intelligence that focuses on training models to produce creative and human-like content autonomously. It stands at the intersection of machine learning, creativity, and human-machine interaction, making it a captivating subject for both researchers and enthusiasts alike.
Throughout our seminar, we will examine the latest developments in Generative AI, with a particular emphasis on the utilization of state-of-the-art generative models. These models have the remarkable ability to generate text, images, music, and even video, often blurring the lines between human-generated and AI-generated content.
Literature
Will be announced during the seminar.
FAQ
When you should send me a request for the office hour: 2 weeks before your presentation (if you are the first week presenter, you can send it 1 week before)
What you should tell me in your e-mail: (1) Preferred half an hour time-slot if you have any preference; (2) Your name and your paper;
When you should send me your presentation draft: As early as possible, not later than 3 days before our meeting
