“中国一強”「レアアース」 日本の戦略に密着取材
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.
，这一点在搜狗输入法下载中也有详细论述
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，这一点在同城约会中也有详细论述
俗话说，民以食为天。春节假期，两则关于“吃”的见闻，令人颇为感慨。
Цены на нефть взлетели до максимума за полгода17:55。91视频对此有专业解读