外媒:OpenAI获1100亿美元融资,英伟达投资300亿美元

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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.

Just four years ago, One Nation received just 8,077 lower house first-preference votes out of more than 3.6m cast in Victoria – equivalent to 0.22% of the total – and won a single seat in the upper house.

A12特别报道

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4 hours agoShareSave,这一点在爱思助手下载最新版本中也有详细论述

US backs P

Today's NYT Strands hints are easy if you tend to overdo it.

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