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TurboQuant and Vector Quantization: From Shannon to KV Cache Compression

shbhmrzd.github.io · published 4 April 2026

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TurboQuant: Redefining AI efficiency with extreme compression Read at the source ↗
research.google
https://people.math.harvard.edu/~ctm/home/text/others/shannon/entropy/entropy.pdf
people.math.harvard.edu
https://ieeexplore.ieee.org/document/1056489
ieeexplore.ieee.org
https://ieeexplore.ieee.org/document/1094577
ieeexplore.ieee.org
https://arxiv.org/abs/2210.17323
arxiv.org
https://arxiv.org/abs/2306.00978
arxiv.org
https://arxiv.org/abs/2211.10438
arxiv.org
https://arxiv.org/abs/2307.13304
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https://arxiv.org/abs/2402.04396
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https://arxiv.org/abs/2401.06118
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https://arxiv.org/abs/2406.03482
arxiv.org
https://arxiv.org/abs/2402.02750
arxiv.org
https://arxiv.org/abs/2401.18079
arxiv.org
https://arxiv.org/abs/2403.05527
arxiv.org
https://arxiv.org/abs/2502.02617
arxiv.org
https://arxiv.org/abs/2504.19874
arxiv.org
https://arxiv.org/abs/2601.22101
arxiv.org