70Deduplicate near-identical documents in a huge corpus. Implement MinHash for fast similarity.▼hardGoogleScale AIDatabricks2 replies◆ premiumComparing every pair of a million documents is a trillion comparisons. MinHash estimates Jaccard similarity from a tiny signature, and LSH turns dedup into a near-linear scan. Here is the implementation.Open full answer →
58Turn a raw web crawl into a clean trillion-token LLM training corpus. Design the pipeline.▼hardNVIDIAAnthropicOpenAI◆ premiumAnyone can say 'filter and dedup.' The signal is the funnel in cost order, the MinHash/LSH banding math, and knowing the shuffle at billions of documents is what actually costs you, plus benchmark decontamination people forget until their eval numbers get challenged.Open full answer →