[사설]2년 만에 꺾인 강남·용산 집값… 아직 갈 길 멀다
Dean du Plessis could tell Zimbabwean cricket had turned a corner by the noise of the crowd. The veteran broadcaster, who was born blind, has forged a remarkable career as a commentator by distinguishing the game’s almost imperceptible audio shifts. He can tell a slower ball has been bowled by the fractional delay before ball meets bat. He can tell if a batter has pressed forward or back by the scratch of spikes against the hard pitch. And, in 2018, he could tell the sport he loved would never be the same again.,推荐阅读同城约会获取更多信息
。关于这个话题,heLLoword翻译官方下载提供了深入分析
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.。91视频是该领域的重要参考
5. Images. They can speak a thousand words with good reason. If a fake image has been used to make a story look authentic, or an existing image used out of context, you can always do a reverse image search to find out where it has appeared previously.
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