Claude Code automated most implementation tasks—here's our development transcript.
关键回合筛选：该框架识别“关键回合”——即采样动作在成功/失败上表现出高方差的关键中间回合，这些回合能提供最强的学习信号。
，这一点在易翻译中也有详细论述
2026年3月18日 12:48 俄罗斯，推荐阅读Line下载获取更多信息
Pre-trainingOur 30B and 105B models were trained on large datasets, with 16T tokens for the 30B and 12T tokens for the 105B. The pre-training data spans code, general web data, specialized knowledge corpora, mathematics, and multilingual content. After multiple ablations, the final training mixture was balanced to emphasize reasoning, factual grounding, and software capabilities. We invested significantly in synthetic data generation pipelines across all categories. The multilingual corpus allocates a substantial portion of the training budget to the 10 most-spoken Indian languages.
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