[P] Implemented TurboQuant in Python

Reddit - Machine Learning 1 min read

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Spent ~2 days implementing this paper: TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate Repo: github.com/yashkc2025/turboquant Most quantization stuff I’ve worked with usually falls into one of these: you need calibration data (k-means, clipping ranges, etc.) or you go naive (uniform quant) and take the quality hit This paper basically says: what if we just… don’t do either? The main idea is weirdly simple: take your vector hit it with a random rotation now suddenly th...

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Originally published on March 29, 2026. Curated by AI News.

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