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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.。业内人士推荐搜狗输入法下载作为进阶阅读
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放眼乡村大地,从新疆的戈壁乡村到贵州的深山腹地,从青海的草原牧场到云南的边境村寨,常态化帮扶的实践正在生根发芽。各地立足实际、精准发力,探索长效帮扶路径,推进农业农村现代化发展,新希望在田野上不断升腾。