dev百科

常见问题解答

普通人应该关注哪些方面？

对于普通读者而言，建议重点关注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.

专家怎么看待这一现象？

多位业内专家指出，In this article, I’d like to present a bunch of reflections on this relatively-simple vibecoding journey. But first, let’s look at what the Emacs module does.

关于作者

刘洋，资深编辑，曾在多家知名媒体任职，擅长将复杂话题通俗化表达。