模型多源确认

OpenAI数学问题转为开源强化学习环境

We turned @OpenAI's math problems into open-source RL environments on @huggingface! Early and rough...

精选理由

OpenAI的数学问题被转化为开源RL环境,任何人都能基于此训练更好的开源模型。

研究人员将OpenAI的数学问题转化为Hugging Face上的开源强化学习环境。该环境目前处于早期粗糙阶段,验证器仅接受原始形式化的精确答案。等效证明仍可能得0分。这一转变使研究发布成为可执行的训练基础设施。

原文 · Clement Delangue

We turned @OpenAI's math problems into open-source RL environments on @huggingface! Early and rough...

We turned @OpenAI 's math problems into open-source RL environments on @huggingface ! Early and rough (the verifier only accepts the exact original formalization, so an equivalent proof can still score 0), but this is what it looks like when a research release becomes executable training infrastructure for everyone. This is an exciting direction imo: turning open research into open executable environments that anyone can build on to train better open models! huggingface.co/datasets/FineE… 💬 34 🔄 23 ❤️ 155 👀 5731 📊 52 ⚡