Jaccard Index & Hamming Distance
Set Overlap & Bitwise XOR Proximity for Categorical & Binary Vectors
#Sets#Bitwise#MinHash#Deduplication#Information Retrieval
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STAGE 1 / 7— Anti-Pattern
Section 1: The LLM Anti-Pattern vs Right-Sized Model
The Naive Generative LLM Approach:
Sending pairs of article scraped text to an LLM to check if one is a duplicate or scraped copy of the other.
Why It Fails in Production:
Reading 10,000 words in an LLM costs significant tokens. MinHash with Jaccard similarity solves near-duplicate detection in microseconds.
Targeted Algorithm (Jaccard Index & Hamming Distance)
Latency:0.01ms (Bitwise POPCNT)
Cost / 1M Ops:$0.00
Determinism:Mathematically Exact
Generative LLM Alternative
Latency:2,500ms
Cost / 1M Ops:$10,000
Determinism:Prone to False Positives