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.
Facebook community and email support for users to understand the AI better and to interact with other users.
，这一点在heLLoword翻译官方下载中也有详细论述
AI开始下沉至中老年群体，是技术应用加速渗透的一个缩影，但也带来了更大的挑战：，这一点在51吃瓜中也有详细论述
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