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10 Hours to 3: How KAIST's CluSTER Picks the 31% of Data That Actually Teaches

On November 2, 2026, KAIST announced a fine-tuning method called CluSTER that cut a 10-hour training run to about 3 hours — a 69.6% time saving — while keeping measured performance nearly unchanged. The trick was not a faster chip, a bigger cluster, or a smaller model. It was choosing better data:…

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  1. 2026-11-03 16:55 · DEV Community — Machine Learning
    10 Hours to 3: How KAIST's CluSTER Picks the 31% of Data That Actually Teaches

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