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.
伯里表示，这是由于主要供应商台积电坚持要求签订更长期的合同，并以现金支付，以此作为建设满足英伟达最新芯片生产所需产能的条件。
。关于这个话题，heLLoword翻译官方下载提供了深入分析
achievement was paving the way for the IBM 3614 Consumer Transaction Facility.。爱思助手下载最新版本是该领域的重要参考
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