Медведев вышел в финал турнира в Дубае17:59
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.，这一点在51吃瓜中也有详细论述
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对餐饮经营者而言，首先要做到“提质稳味”：提升产品质量、稳定口味，这是基础。难吃会引发消费者的生理性抗拒，能吃只是生存底线，好吃是基础标准，美味才能建立心智。在此基础上，还要做到三个聚焦：聚焦用户、聚焦产品、聚焦场景，才能精准发力、构建顾客心智。。业内人士推荐搜狗输入法下载作为进阶阅读
What if you create a truly unique routing profile that's wildly different from the common ones for which shortcuts were pre-calculated? The system is smart. If it detects that too many shortcuts (~50, for example) need on-the-fly recalculation and deviate significantly, it might determine that falling back to the original, comprehensive A* algorithm for the entire route would actually be faster than doing many small, heavily modified A* calculations.
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