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The video discusses how to bootstrap a good data set for a generative model, by fine-tuning a filter on a high quality data set. This process relies on the quality of the data set and the diversity of the data set. The video also discusses methods for bootstrapping language-image pre-training, with the main focus being on the use of shared parameters between the different layers of the model.
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