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.
The first thing a multi-tasking operating system needs from hardware is isolation: multiple programs must share one processor without being able to read, write, or jump into each other's memory. The 80386 achieves this through memory protection -- two independent address translation layers.
，详情可参考新收录的资料
Марина Совина (ночной редактор)
羅德里格斯接任後正與美國政府合作。
Right now we have CLAUDE.md, AGENTS.md, copilot-instructions.md, .cursorrules, and probably five more by the time you read this. Everyone agrees that agents need persistent filesystem-based context. Nobody agrees on what the file should be called or what should go in it. I see efforts to consolidate, this is good.