Speaker
Description
Within the ErUM communities, the amount, acquistion rate and diversity of data has rapidly increased over the last decade. While these challenges have been successfully addressed by individual communities, with respect to data analysis, the application of FAIR principles is lagging behind and the existing infrastructure does not allow for a swift and convenient publication of data. Smaller experiments are particularly affected and developments addressing the collection, reduction and analysis of data, as well as its storing, sharing and finding are urgently required to facilitate the transition from Big Data to Smart Data. The Physics-LLM consortium addresses the afore-mentioned challenges by utilizing LLMs in the RDM context. Particular focus is put on the development of an LLM-enhaced RDM toolkit and the use of open source models, e.g. Teuken 7B.
