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.
В разговоре с журналистом украинский лидер прокомментировал данные российской разведки, согласно которым Франция и Великобритания готовятся вооружить республику ядерной бомбой, а передачу ЯО — замаскировать под самостоятельную разработку украинцев.，推荐阅读夫子获取更多信息
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直观理解一下，激活函数就像神经网络里的开关或滤镜，它决定了每个神经元应该多大程度地激活，从而使网络具备强大的表达能力。，详情可参考快连下载-Letsvpn下载