
Automation of certain parts of data collection and data processing in the field of Social Sciences and Humanities would enable researchers to skip some of the more painstaking tasks, leaving more time for the actual analysis and opening up the possibility to work with larger data sets. So, how can small Large Language Models (sLLMs) help? Marianne Groep-Foncke and Tine De Moor (RSM, Erasmus University Rotterdam) published a paper on this topic, titled: ‘Easily accessible (small) LLMs in historical studies: opportunities, limitations, pitfalls‘.
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