All Articles
1 min read
Исследования2026年10月12日
Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning
arXiv:2610.12593v1 Announce Type: new Abstract: The continued improvement of large language models increasingly depends on synthetic experience, yet effective data synthesis for interactive agents requires not only executable and verifiable trajectories, but also interactions…
Wei Yang, Qing Ping, Youzhi Luo, Yawei Wang, Abhishek Kumar, Panpan Xu, Jun Huan·arXiv — cs.AI
Original SourceKey Takeaways
- 01.arXiv:2610.12593v1 Announce Type: new Abstract: The continued improvement of large language models increasingly depends on synthetic experience, yet effective data synthesis for interactive agents requires not only executable and verifiable trajectories, but also interactions…
This material is provided as an extended analytical summary.
Read full article at sourceAggregated within AI Qazaqstan national intelligence stream with author attribution.
Related Intelligence
All stories →Исследования1 мин
GPT-6.1 Terra 将 OpenAI 的 API 价格减半，但仍比其更大的模型取得进展
OpenAI 发布了 GPT-6.1 Terra，这是一款中端模型，与前身相比，API 价格降低了一半。分析师表示，它为每美元的智能设定了新标准，特别是对于日常计算任务和人工智能驱动的计算机控制。文章 GPT-6.1 Terra...
The Decoder
Исследования1 мин
Sullivan & Cromwell 如何利用 Codex 构建法律工具 |开放人工智能
在 Sullivan & Cromwell LLP，John Savva 使用 Codex 围绕公司的法律专业知识构建工具。协议分析器汇集了协议草案、选定的先例和反映公司和客户立场的行动手册。它识别潜在问题并返回...
YouTube — OpenAI Official
Исследования1 мин
Hebbia on Astra：更好的研究，更好的演示 |开放人工智能
“我们看到 Astra 实际上比我们在两个方面测试过的任何其他型号都显示出超过两位数的增益。” Hebbia 的 Kavita Anand 指出了这两个因素：选择正确的来源和生成 PowerPoint 演示文稿。对于在拥有数千个数据室的银行家或投资者来说……
YouTube — OpenAI Official