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RISE
RISE Crash Course: "Information Extraction from Images with AI"
![[Translate to English:] Eine Karteikarte mit Text und der Text in strukturierter Form](/fileadmin/user_upload/rise/Newsimages/ki-extraction.png?1723202170)
In this two-hour course, you will learn how multimodal large language models, such as ChatGPT, Gemini, or Claude, can be used to extract structured information directly from images. This approach eliminates the often necessary intermediate step of text recognition and transcription that is common in traditional methods (such as Transkribus).
Using concrete examples from ongoing research projects, the course will demonstrate the practical possibilities and limitations of this technology. It will also address the technical and methodological prerequisites required for successful implementation. Additionally, aspects of data quality, the FAIRness (Findability, Accessibility, Interoperability, Reusability) of the extracted data, as well as the associated costs, will be considered and reflected upon.
The course is aimed in particular at doctoral students from the Faculty of Humanities and Social Sciences. Researchers and staff from all faculties of the University of Basel are welcome. If needed, the course can be offered in English. Questions and contributions in English are, of course, always welcome regardless of the course language.
Places will be allocated on a first-come, first-served basis. Register now.
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