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.
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10月自助餐部分菜品入学前我做了哪些准备虽然学校教育很重要，但是对于孩子的培养，家庭教育更是重中之重。毕竟第一次一个人接触「社会」，接触大量陌生人，开始独立做事，我虽然看的很开，也难免有点担心，所以在3岁时，就开始做入园的准备工作，让孩子有更长的时间学习生活技能以及独立的能力。一共有四部分：