Мерц резко сменил риторику во время встречи в Китае09:25
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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老年人和大模型交互过程中依赖语音,同时会大量使用“嗯”“哦”“这个……”等语气助词。和成年人明确的AI使用目的不同,在提问策略上老年人也会在迂回和直接提问中反复横跳。
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await dropNew.writer.write(chunk2); // ok,详情可参考服务器推荐
cmd: [Function: cmdValidatePromo], // The command waiting to be executed