小公司“狂烧钱”,大公司“精打细算”?

· · 来源:tutorial资讯

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.

顺应“势”。场景内容重构,催生了“小正餐” “特色主食刚需” “一人食”的新红利。一人食将成为未来的主流,尤其是50元以下客单价品类,甚至正餐都会走向“1+1”模式,即各自点餐、合并买单。自选快餐、麻辣烫早已实现这一模式。香港港式茶餐厅的核心就是这种消费行为,只是因品类老化,未能适配大陆消费者需求。

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