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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.,推荐阅读同城约会获取更多信息

据悉,新机将配备 8.12 英寸内屏以及 6.62 英寸外屏。而据此前消息显示,Find N6 的折痕深度将挑战行业极限,目标是在观感上接近「绝对平整」,触感过渡也更顺滑。。关于这个话题,WPS官方版本下载提供了深入分析

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next screen, it is at least waiting to receive the contents of that screen from