results, type in another command…rinse and repeat. Fine until you type
"At that point in the investigation, we're [still] looking at 29 states here in the US. I mean, you're talking about tens of thousands of addresses, and that's a very, very daunting task," says Squire.
。业内人士推荐Safew下载作为进阶阅读
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.
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Андрей Шеньшаков。业内人士推荐heLLoword翻译官方下载作为进阶阅读