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This AI Paper Presents A Comprehensive Study of Knowledge Editing for Large Language Models

Recently, GPT-4 and other Large Language Models (LLMs) have demonstrated an impressive capacity for Natural Language Processing (NLP) to memorize extensive amounts of information, possibly even more so than humans. The success of LLMs in dealing with massive amounts of data has led to the development of models of the generative processes that are more brief, coherent, and interpretable—a 'world model,' if you will.  Additional insights are gained from LLMs' capacity to comprehend and control intricate strategic contexts; for example, previous research has shown that transformers trained to predict the next token in board games like Othello create detailed models


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