arXiv (OAI Expanded)
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Criticality in Dissimilar Decomposition and Undersampling of Random Datasets with Anomalies
Training datasets for upcoming LLMs would include a significant amount of AI text/image data generated from current LLMs. In such a scenario, it is important to understand how this affects batch decompositions and thereby, the performance of the resultant new LLM. In this paper, we consider AI gener
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