Über uns
Regensburg is full of data science expertise, both in industry and in academia. Our aim is to bring together people who share an interest in this area and offer an environment for networking in an informal setting. We continue to have speakers with a range of backgrounds offering insights into a wide spectrum of data science ranging from enterprise search to music recommendation, from automatic fact-checking to avoiding harms and biases, from generative approaches to automatic question-answering. And that is not even everything. Other topics include large language models, industry use cases of natural language processing and the list goes on and on ... We have speakers from industry (e.g. Bloomberg, Netflix, Amazon, Spotify, Deloitte ...) and universities (CMU, Queen Mary, Essex, Regensburg ...). Want to present? Drop us a message. For more details on the organising team check: https://ai.ur.de/
Bevorstehende Events (1)
Alles ansehen- Data Science @ Regensburg goes Leipzig: RAG and moreScads.AI, Leipzig
Dear all,
We are very happy to announce our next Data Science @ Regensburg Meetup. Given the success of last year's venture to Berlin we decided to have another road show this year. This time we will meet in Leipzig where our local host will be the webis group at ScaDS.ai, and the man who made this possible is the one and only Maik Fröbe.
The programme is still being compiled but at this point we can confirm our first speaker. Frank Strobl (Head of Business Development at jabmit) will give us some real-world insight into the use of Retrieval-augmented Generation (RAG) in industry.
Watch out for more speakers and details to be confirmed. For now mark the date!
Looking forward to seeing you in Leipzig,
Udo----------------------
Programme (more speakers and details to be added):
Speaker
Frank Strobl (Head of Business Development at jabmit)Title
Agentic RAG in ActionAbstract
Discover the potential of Agentic RAG (Retrieval-Augmented Generation) in this developer-focused session. We’ll explore the benefits, challenges, and bleeding-edge innovations using LangGraph, with insights into debugging and tracing via PhoenixArize. Learn testing methodologies and gain a clear understanding of this emerging AI paradigm. No hands-on, just fresh ideas to inspire your next project!
