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An illustrated guide explains Locality Sensitive Hashing (LSH), a technique for approximate nearest neighbor search in high-dimensional spaces. The guide covers how LSH uses hash functions to group similar items into the same buckets, enabling fast similarity searches for applications like duplicate detection and recommendation systems.
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