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the impact on the predictive quality of a given model that is expected by retraining/fine-tuning it using additional datasets, as well as on predicting the expected cost/latency of such retraining/fine-tuning
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: Investigation of current trends in parallel architectures, focusing on programmability as well as the characterization and modeling of their general-purpose capabilities; Investigation of AI hardware trends, with
Searches related to numerical modeling
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