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Smaller vision–language models with selective, task‑aware reasoning offer one promising direction for making multimodal systems more practical and accessible. We present our model and its learnings to inform ongoing research in multimodal modeling, computer‑using agents, and mathematical scientific reasoning. We hope these details are useful to researchers exploring similar tradeoffs and invite critical evaluation, replication, and extension by the community. If you’d like to join us and help shape the future of multimodal models, please apply for one of our open roles.

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Anthropic发,推荐阅读谷歌浏览器下载获取更多信息

Изображение: Maksim Konstantinov / Global Look Press。业内人士推荐https://telegram官网作为进阶阅读

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关于作者

刘洋,资深行业分析师,长期关注行业前沿动态,擅长深度报道与趋势研判。

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