which seems pretty wasteful. And it may be that in your program, the
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.
，更多细节参见WPS下载最新地址
"I'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome," he wrote.
面对许多仍然需要跨越的“雪山”“草地”、需要征服的“娄山关”“腊子口”，习近平总书记的殷殷告诫振聋发聩——