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Marin has built scalable infrastructure to process 25T tokens from open datasets on Hugging Face for training their 535B language model, emphasizing the power of the open community.
The article argues that training-side decontamination in AI models cannot be verified due to inherent trust and inspection issues, and proposes an evaluation-side rule to ensure reproducibility by controlling the evaluation process.