Data pattern extraction
科研篇2025 年算是我的接触科研的元年。熟悉我的人都知道，我的作者标签中始终带有个「研究生」的字样；但是我几乎很少在文章中谈我的科研经历。这不是因为我不想，而是因为我们组的很多科研实践拿出来只能被当做负面典型案例。在这里，你将看到如下要素：
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В России предупредили о подготовке ВСУ к контратаке на одном направлении08:42
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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.。heLLoword翻译官方下载对此有专业解读