Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

· · 来源:tutorial资讯

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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.

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Фото: Bernadett Szabo / Reuters

const res = [];。搜狗输入法下载对此有专业解读

A03要闻

這些任務基本上模擬:若我們突然被丟到一個語言完全陌生的國家,只能依靠與生俱來的能力去理解周遭陌生的語音,並開始從中找出規律、賦予意義,我們會如何反應。

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