The supermarket said it would stop sourcing fresh, chilled and frozen mackerel by 29 April, as well as tinned mackerel once their current stocks have been sold.
// 第二步:遍历nums1,从Map中直接查询每个元素的结果(O(1)查询,无需重复计算)
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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.