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processed by machines, do we really need to courier them to rooms full of，推荐阅读旺商聊官方下载获取更多信息
到了20世纪20年代，在宜昌三峡西陵峡口，一位英国植物爱好者发现了3000多亩天然野生蜡梅。他将蜡梅制作成标本，向国际传播，宜昌蜡梅被世界所知，我国是蜡梅原产地也得到证实。
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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.