Encord raises €50M to build the data layer for physical AI

· · 来源:dev资讯

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《甄嬛傳》馬拉松

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.

这家店投资了60万元,对王哥和王嫂而言,这并非小数目。“经济环境起起伏伏,市场都说这不行那不行,但还是有人在小众市场跑出来。想做生意,总归要有点魄力,还是要往前冲。”王哥说。,更多细节参见91视频