以DeepSeek‑R1为例,仅靠强化学习训练,模型在AIME数学推理基准上的pass@1从15.6%提升至 77.9%,充分展示了RL在低数据量条件下即可实现大幅能力跃升,迅速成为后训练赛道的新范式。
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在大公司一路高歌猛进的 AI 浪潮里,小创业者和高校研究者正变得越来越迷茫。就连前段时间谷歌创始人谢尔盖・布林回斯坦福,都要回答「大学该何去何从」「从学术到产业的传统路径是否依然重要」这类问题。 AI,真的只是大公司的游戏吗?被算力掣肘的其他研究者、创业者,机会在哪里?在「强化学习」后训练引领「下半场」的当下,这个问题变得愈发重要。 好在,国内外都有专业团队在关心这个问题,比如前 OpenAI C ...
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