Maximizing Efficiency in AI Training: A Deep Dive into Data Selection Practices and Future Directions

The recent success of large language models relies heavily on extensive text datasets for pre-training. However, indiscriminate use of all available data may not be optimal due to varying quality. Data selection methods are crucial for optimizing training datasets and reducing costs and carbon footprint. Despite the expanding interest in this area, limited resources hinder […]

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