Pierre Ablin
PulseAugur coverage of Pierre Ablin — every cluster mentioning Pierre Ablin across labs, papers, and developer communities, ranked by signal.
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Apple researchers unveil data mixture scaling laws for LLM pretraining
Apple Machine Learning Research has published findings on optimizing data mixtures for pretraining language models, particularly when dealing with limited target data. Their extensive study, involving over 2,000 trainin…
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Apple ML Research unveils MVICAD2 for multi-view data analysis
Apple Machine Learning Research has introduced MVICAD2, a novel method for analyzing multi-view data, particularly in neuroscience. This technique extends previous models by accounting for both temporal delays and dilat…
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Apple ML Research scales flow maps for faster language generation
Apple Machine Learning Research has published a paper detailing advancements in scaling Categorical Flow Maps (CFMs) for language modeling. The research team successfully trained a 1.7 billion parameter flow model on 2.…
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Apple unveils DLR-Lock to protect LLM weights from unauthorized use
Apple Machine Learning Research has introduced DLR-Lock, a novel method to protect pretrained language model weights from unauthorized modifications. This technique involves replacing each multilayer perceptron (MLP) wi…