This talk aims to envision how the use of machine learning, High-Performance Computing (HPC) and data-driven approaches can become an everyday practice for historians in the not-too-distant future and change the way intellectual history is practiced. Everyone is talking about large language models such as BERT and how transformers will change the way we approach big data, but what does this mean in practice for historical research? How should historians conceptualize the use of structured and unstructured data and the interplay between them to study such phenomena as the Scottish Enlightenment?
„Mikko Tolonen: Helsinki Computational History Group, High Performance Computing, and the Study of the Scottish Enlightenment“ weiterlesen