Google DeepMind posed a preprint paper on “Generative Data Refinement: Just Ask for Better Data.“ Abstract: For a fixed parameter size, the capabilities of large models are primarily determined by the quality and quantity of its training data. Consequently, training datasets now grow faster than the rate at which new data is indexed on the … Continue reading Google DeepMind research paper on Generative Data Refinement to cleanse undesirable content