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vector-compression
Latest stories covering vector-compression, with summaries and links to related coverage.
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TurboQuant: A first-principles walkthrough
research
24 min read
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.