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.
Now 38, the former marine engineer's most remote and challenging role by far is his current job as the station leader at the Halley VI Research Station in Antarctica.。业内人士推荐WPS官方版本下载作为进阶阅读
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model can sometimes generate text that is not coherent or fluent,，推荐阅读旺商聊官方下载获取更多信息
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