---
id: 20260401-T0-09
title: "daVinci-LLM研究：预训练决定模型能力上限"
title_en: "daVinci-LLM: Pretraining Determines Model Capability Ceiling"
url: https://ai.daily.yangsir.net/daily/20260401-T0-09
issue_date: 2026-04-01
publish_date: 2026-03-31T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2603.27164
---

# daVinci-LLM研究：预训练决定模型能力上限

arXiv论文《daVinci-LLM:Towards the Science of Pretraining》指出，预训练阶段决定模型能力上限，但这一过程研究不足。论文揭示了一个结构性矛盾：预训练数据的选择与模型最终能力之间存在未知关联，该研究为提升预训练效率提供新思路。

## English Version

**daVinci-LLM: Pretraining Determines Model Capability Ceiling**

arXiv paper 'daVinci-LLM' reveals that pretraining determines a model's capability ceiling, yet remains under-explored due to a structural paradox between data selection and final performance. The study offers new insights for pretraining efficiency.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2603.27164)

**详情页**：https://ai.daily.yangsir.net/daily/20260401-T0-09

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