Evaluating World Knowledge and Memorization in Machine Learning: A Study by the University of Tübingen

Large Language Models (LLMs) have emerged as a cornerstone in artificial intelligence, proficiently managing various tasks from natural language processing to complex decision-making processes. However, as these models grow in sophistication, they also encounter significant challenges, particularly concerning data memorization. This phenomenon raises substantial questions about the models’ ability to generalize across different types of […]

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