Unverified50% confidenceFactExact time
开源模型LLaMA 2使用了2万亿token训练数据
1
Sources
50%
Confidence
Long-term
Relevance
8/5/2026
First Seen
Sources
Related Claims
UnverifiedLarge models can be used to automatically generate synthetic training data based on domain documents to construct question-answer pairs, and typically thousands to tens of thousands of training pairs are needed to achieve significant results.71% similarUnverified后训练阶段使用几万对到几十万对'用户请求+标准回答'的配对数据来训练模型理解人类指令意图68% similarUnverifiedSmoLLM基础模型训练使用了来自FineWeb-Edu数据集的约25亿token67% similarUnverifiedPre-training data on the internet is nearly exhausted, and the contextual data generated by users in AI programming tools is the key fuel for training the next generation of models.67% similarUnverifiedLLM training data covers a large amount of open-source code, but this represents statistical patterns rather than an understanding of specific projects.66% similar
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