“Our policy is that we will never include an AI-generated review on Metacritic,” the aggregator says, “and that if we subsequently discover that one has been posted we will remove it immediately and sever ties with that publication upon an investigation.”
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.
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Replace higher-order functions with first-order dispatch on a sum type. Eliminates function pointers entirely. Requires whole-program analysis.。关于这个话题,下载安装汽水音乐提供了深入分析
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