println!("got value from the server: {:?}", result);
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.
，更多细节参见迅雷下载
I do know that the president called the prime minister and the views of the president put on this, I think, reflected what all good people have been thinking. Everybody’s been looking at this situation and saying, surely, is there something we can do?
Фото: Khaled Abdullah / Reuters，更多细节参见传奇私服新开网｜热血传奇SF发布站｜传奇私服网站
Damian Williams，更多细节参见超级权重
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