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Der Modellansatz: Modell256 - LLM statistics

G.Thaeter, N.Klein, M.Sbeyti & N.Bianco

https://modellansatz.de/llm-statistics

Bei genauem Hinsehen finden wir die Naturwissenschaft und besonders Mathematik überall in unserem Leben, vom Wasserhahn über die automatischen Temporegelungen an Autobahnen, in der Medizintechnik bis hin zum Mobiltelefon. Woran die Forscher, Absolventen und Lehrenden in Karlsruhe gerade tüfteln, erfahren wir im Modellansatz Podcast aus erster Hand.

LLM statistics

This episode was recorded in March 2026. Gudrun speaks again with Nadja Klein and Moussa Kassem Sbeyti
who work at the Scientific Computing Center (SCC) at KIT in Karlsruhe. As a new person in our conversation we welcome Nicolas Bianco.

The research of the scientists in Nadja's MBD Lab is at the intersection of statistics and machine learning. It spans theoretical analysis, method development and real-world applications. Last time we focussed on Baysian statistics. With the help of Nicolas we want to examplify how interdisciplinary work is done and how his journey led him into this field of research. Since in this episode we very much focussed on Nicolas decision process and steps in his carrier we plan to have an episode on the topics later in the year.


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Zitatsangabe

G.Thaeter, N.Klein, M.Sbeyti & N.Bianco: LLM statistics, Gespräch im Modellansatz Podcast, Folge 256, Fakultät für Mathematik, Karlsruher Institut für Technologie (KIT), 2026. <https://modellansatz.de/llm-statistics>

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G.Thaeter, N.Klein, M.Sbeyti & N.Bianco: LLM statistics (11 MB, mp3)