大模型训练全流程实战指南实战篇（十五）——预训练数据治理
本文从零搭建完整加工流水线：MinerU 统一解析为 Markdown，多模态模型为图片生成描述，再经去重、质量过滤、隐私脱敏三道清洗工序，将“原料”炼成可直接用于大模型训练的干净数据集。该流程旨在解决预训练数据治理问题，通过统一解析、智能描述及三重清洗工序，确保输出数据的可用性。
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该报道为《大模型训练全流程实战指南》系列的第十五篇，聚焦于预训练阶段的数据治理工作。文章旨在提供针对大模型训练全周期的实操指导，其中当前篇章重点阐述了在预训练环节进行数据清洗、去重、质量评估及合规处理的具体方法与策略，以确保持续优化模型性能与安全性。
Related eventsRELATED EVENTS
- 2026-09-07 21:02The `GPT-6 Astra model was released, and OpenAI President Brockman confidently declared, “Welcome to the era of AGI.”
- 2026-09-08 19:21OpenAI released GPT-6 Astra, marking the arrival of the AGI era, with capabilities for autonomous computer operation and scientific research.
- 2026-09-08 22:40① Nvidia CEO Jensen Huang posted that OpenAI’s GPT-6 Astra, released last week, was trained using approximately 100,000 NV Link 72 clusters, and he believes that General Artificial Intelligence (AGI) has officially arrived; ② GPT-6 Astra can directly operate computers and software to perform complex tasks such as programming, reaching the most advanced level in multiple fields. OpenAI has announced the beginning of the AGI era.
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