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Никита Хромин (ночной линейный редактор)。关于这个话题,新收录的资料提供了深入分析
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TrainingAll stages of the training pipeline were developed and executed in-house. This includes the model architecture, data curation and synthesis pipelines, reasoning supervision frameworks, and reinforcement learning infrastructure. Building everything from scratch gave us direct control over data quality, training dynamics, and capability development across every stage of training, which is a core requirement for a sovereign stack.,更多细节参见新收录的资料