Scalable Extraction of Training Data from (Production) Language Models
berkeley.edu
Scalable Extraction of Training Data from (Production) Language Models
Large language models are known to memorize examples from their training dataset, and then reproduce these examples at test time. But current production models are not just pretrained on web-scraped text. They are now also "aligned" to produce desirable behavior, which includes not repeating training data. As a result, asking a production ...
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