Speaker
Anna Hallin
(Universität Hamburg)
Description
Foundation models are machine learning models trained on large datasets, capable of being finetuned for a variety of downstream tasks. In a rather short time, several approaches to building foundation models for High energy physics have been presented. I will provide an overview of some of these approaches, and present some visions and open questions for the development of foundation models in HEP.
| AI keywords | foundation models; transformers; generation; classification |
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Primary author
Anna Hallin
(Universität Hamburg)
