Что думаешь? Оцени!
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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В Мариинске Кемеровской области 76-летнюю пенсионерку вместо лечения привязали к кровати в больнице и избили. Об этом сообщила внучка пожилой россиянки изданию «Подъем».
精细化管控:支持分批、分级、按需迁移
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Run up your bill. Gemini API usage isn't free. Depending on the model and context window, a threat actor maxing out API calls could generate thousands of dollars in charges per day on a single victim account.
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