Główne pojęcia
Foundation models in physics data aim to improve performance and reduce training time.
Statystyki
"Foundation models are multi-dataset and multi-task machine learning methods."
"The OmniJet-α model demonstrates transfer learning between an unsupervised problem (jet generation) and a classic supervised task (jet tagging)."
"The model was trained on three separate datasets: t → bqq′ only, q/g only, and q/g and t → bqq′ combined."
Cytaty
"Foundation models for physics data would be significant: While machine learning models developed so far typically outperform classical approaches, available statistics for training these models is a constant issue."
"Foundation models will play an important role in reducing the computational burden in particle physics."