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專家還指出，「應注重子女對老人的『數字反哺』作用，鼓勵子女幫助老人篩選智能化養老服務及產品，指導老人利用智能技術提升生活品質」。劉先生去年將丈母娘接到香港幫忙照看孫輩，陪伴感和價值感的增加讓丈母娘刷視頻的時間顯著減少，也讓他們能在日常生活中潛移默化地幫助老人建立正確的消費觀。
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Some children might have only a few spots, but others can be covered from head to toe.
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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