FAIR Use of GPT-Generated Data in SSH Research: A Practical Guide
This Lunch & Learn series offers members of the UZH insights into various aspects of Open Science. The event begins with an half-hour input presentation and concludes with an open Q&A session.
Allgemeine Informationen
Over the past year, the Research and Infrastructure Support (RISE) team at the University of Basel has been exploring the use of Generative Pre-trained Transformers (GPTs) in the field of Social Sciences and Humanities (SSH).
One of the main challenges we encountered was to make GPT-generated data FAIR (Findable, Accessible, Interoperable and Re-usable). In this talk, RISE member Max Hindermann will share key learnings and practical tips his team has gathered.
One of the main challenges we encountered was to make GPT-generated data FAIR (Findable, Accessible, Interoperable and Re-usable). In this talk, RISE member Max Hindermann will share key learnings and practical tips his team has gathered.
Researchers from UZH and other institutions
Kursdaten
| Leitung | Daten | Plätze frei | Ort | |
|---|---|---|---|---|
| Hindermann Max |
Mi
21.08.2024
(12:00 - 13:00 Uhr)
|
Ja | Online-Kurs | zur Anmeldung |