67Find near-duplicate documents in a 1TB corpus without comparing every pair.▼hardScale AIPalantirDatabricks1 replies◆ premiumAll-pairs comparison is O(n^2) and dies long before 1TB. The senior move is MinHash plus LSH: hash documents so only likely-similar pairs ever land in the same bucket, then verify just those.Open full answer →
57Build a 10M-sample instruction-tuning dataset from 100B web docs. Design the pipeline.▼expertOpenAIScale AIDatabricks2 replies◆ premiumThe naive pipeline gives you 10 million 'summarize this paragraph' pairs and a model that can only summarize paragraphs. The hard part is diversity and quality control at 100-billion-document scale, not the generation call.Open full answer →