Large language models have garnered significant attention in the AI community, showcasing remarkable capabilities. The Apple research team reveals WRAP technology, which utilizes synthetic data for pre-training large models. WRAP enhances model performance, rewrites network documentation, and improves pre-training effectiveness. By using high-quality synthetic data to accelerate training, overall performance is increased, paving new paths.