Source: Computational Materials Science, Volume 267
FT Edit: Access on iOS and web
思考它，谨慎地测试这些新工具，用几周时间，而不是五分钟就做测试以强化自己原有的信念。。关于这个话题，51吃瓜提供了深入分析
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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.