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2 regurgitate substantial portions of their training data, even with the implementation of safeguards 3 designed to prevent the regurgitation of training data. 6 Another recent study found that fine-tuning 4 LLMs from OpenAI, Google, and DeepSeek with a small number of books unlocks the ability of those 5 models to reproduce up to 90% of text from unrelated copyrighted books, “using only semantic 6 descriptions as prompts and no actual book text.” 7 �e models identified in these studies


\n \n Original document","title":"Tanzer v. Adobe Inc.","url":"https://www.courtlistener.com/docket/73359710/8/tanzer-v-adobe-inc/","vendor":"court_dockets"},"summary":"

2 regurgitate substantial portions of their training data, even with the implementation of safeguards 3 designed to prevent the regurgitation of training data. 6 Another recent study found that fine-tuning 4 LLMs from OpenAI, Google, and DeepSeek with a small number of books unlocks the ability of those 5 models to reproduce up to 90% of text from unrelated copyrighted books, “using only semantic 6 descriptions as prompts and no actual book text.” 7 �e models identified in these studies


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