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Orders Of Magnitude LLC

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#small language model Open access Sep 2026

NS-Filtered Fine-Tuning: 86.8% Compute Reduction with Equal or Better Benchmark Performance

Modern language model training applies a uniform gradient update to every token, regardless of its information content. We introduce NS-weighted training, which filters training examples by their Shannon information. On a 50MB sample of the C4 web corpus, unigram NS-data filtering matches a 1000-step standard training...

Orders Of Magnitude LLC · 0 citations
#small language model Open access Sep 2026

NS-Filtered Fine-Tuning: 86.8% Compute Reduction with Equal or Better Benchmark Performance

Modern language model training applies a uniform gradient update to every token, regardless of its information content. We introduce NS-weighted training, which filters training examples by their Shannon information. On a 50MB sample of the C4 web corpus, unigram NS-data filtering matches a 1000-step standard training...

Orders Of Magnitude LLC · 0 citations

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