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Uncover a model's "digital DNA" – its pretraining data mixture – from its outputs alone, even without access to the training data.
LLMs can be surprisingly effective vision models, even without full fine-tuning, thanks to inherent foundational properties in specific layers that transfer via a simple "random label bridge training" technique.
