In the months since, I continued my real-life work as a Data Scientist while keeping up-to-date on the latest LLMs popping up on OpenRouter. In August, Google announced the release of their Nano Banana generative image AI with a corresponding API that’s difficult to use, so I open-sourced the gemimg Python package that serves as an API wrapper. It’s not a thrilling project: there’s little room or need for creative implementation and my satisfaction with it was the net present value with what it enabled rather than writing the tool itself. Therefore as an experiment, I plopped the feature-complete code into various up-and-coming LLMs on OpenRouter and prompted the models to identify and fix any issues with the Python code: if it failed, it’s a good test for the current capabilities of LLMs, if it succeeded, then it’s a software quality increase for potential users of the package and I have no moral objection to it. The LLMs actually were helpful: in addition to adding good function docstrings and type hints, it identified more Pythonic implementations of various code blocks.
Даниил Иринин (Редактор отдела «Наука и техника»)
。业内人士推荐服务器推荐作为进阶阅读
Go to the GCP console, navigate to APIs & Services > Enabled APIs & Services, and look for the "Generative Language API." Do this for every project in your organization. If it's not enabled, you're not affected by this specific issue.
苹果公司已敦促一名联邦法官驳回一项拟议中的集体诉讼。该诉讼指控苹果两次欺诈股东：一是夸大其语音助手Siri的人工智能能力，二是在遵守有关应用销售佣金的法院禁令问题上作出虚假陈述。苹果在25日提交给加州圣何塞联邦法院的文件中表示，没有证据表明，苹果在2024年6月一场会议上谈论人工智能时，就已经知道将两项先进AI功能集成到Siri中会比预期耗时更久，并可能影响iPhone16的销量。（新浪财经）