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TurboQuant: A first-principles walkthrough
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Overview
TurboQuant compresses high-dimensional AI vectors to 2–4 bits per number with minimal distortion and no memory overhead. This method employs random rotation to transform input vectors efficiently without the need for training or calibration.
Summary from arkaung.github.io.
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arkaung.github.io
TurboQuant: A first-principles walkthrough
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Hacker News · arkaung.github.io
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