Universitetsavisen
Nørregade 10
1165 København K
Tlf: 21 17 95 65 (man-fre kl. 9-15)
E-mail: uni-avis@adm.ku.dk
Københavns Universitet
Uafhængig af ledelsen
Foredrag
Foredrag — LLMs are easy to use and believed to automate everything - from legal and medical reasoning to solving complex math problems. However, the sub-symbolic neural networks of LLMs may give answers going against established knowledge and legal rules. Symbolic, knowledge based AI on the other hand can be proven to be accurate, but are tedious to build and interact with. The talk will describe how we in the XHAILE research project combine the two technologies to get the best of the two worlds.
Date & Time:
Place:
Small UP1
Hosted by:
VILU, Heads of Studies at DIKU, and Datalogisk Fagråd
Cost:
Free
Read more about the XHAILe research project
Thomas Hildebrandt is professor in software engineering and head of the research section for software, data, people & society. With a background in formal process models he has in more than 10 years been leading inter-disciplinary research and innovation projects with focus on methods and technologies for developing reliable and flexible software systems suited for the people who use them, including digitalisation of law, workflows and business processes information systems.
DIKU Bits is a lecture series for students (and (Ph.D.) employees) about current research at DIKU, held every other week . The lectures aim to inspire choices of elective courses, project writing, etc., but also to provide greater insight into colleagues’ research fields and create a common meeting space for both staff and students.