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.
代表团表示，将力争优异成绩，实现运动成绩和精神文明双丰收。
Жители Санкт-Петербурга устроили «крысогон»17:52。业内人士推荐heLLoword翻译官方下载作为进阶阅读
В Сеченовском университете разработали «умную» жевательную резинку с ферментативным комплексом, направленным на профилактику кариеса и укрепление эмали. Продукт создан командой молодых ученых Института стоматологии имени Е. В. Боровского и уже проходит процедуру патентования. Об этом «Ленте.ру» сообщили в пресс-службе университета.
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