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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打个比方，LLM像是“未出山前的诸葛亮”，善于分析，以“隆中对”和刘备对谈，出谋划策，但限于“纸上谈兵”；智能体则是“出山后的诸葛亮”，掌握全局情报，运筹帷幄，组织资源、调兵遣将，亲自率军北伐。，这一点在safew官方下载中也有详细论述
Стали известны планы Зеленского после переизбранияНа Украине заявили о принятии непопулярных решений после переизбрания Зеленского
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