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.
The move has further exacerbated the already crippling oil and fuel shortages Cuba has been suffering for years.
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The team are now trying to work out if this could be an example of very early Christianity.。一键获取谷歌浏览器下载对此有专业解读
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Фото: MOD Russia / Globallookpress.com