艾伦AI研究所推出了开放源码的AI编码代理SERA, 其性能超过较大的模型,培训费用仅为400美元。 The Allen Institute for AI launched SERA, open-source AI coding agents that outperform larger models and cost just $400 to train.

爱爱的艾伦研究所已经释放了SERA, 这是一个由开放源码的AI编码代理人组成的大家庭,在代码基准方面表现优于许多较大的封闭型模式,而培训费用却低至400美元。 The Allen Institute for AI has released SERA, a family of open-source AI coding agents that outperform many larger closed models on code benchmarks while costing as little as $400 to train. SERA-32B和SERA-8B采用新颖的软核查生成方法,以低价创建高质量的培训数据,使实际世界的代码库能够在没有昂贵的基础设施的情况下取得强劲的业绩。 SERA-32B and SERA-8B use a novel soft-verified generation method to create high-quality training data cheaply, enabling strong performance on real-world codebases without expensive infrastructure. 这些代理商可以对私人代码进行微调,与Claude代码等工具结合,并在单一指挥下部署,使小团队和个人能够使用先进的人工智能编码工具。 The agents can be fine-tuned on private code, integrate with tools like Claude Code, and deploy with a single command, making advanced AI coding tools accessible to small teams and individuals.