Browt, Pombon, and Gecqua
function spoof(fake, original) {，推荐阅读夫子获取更多信息
"Trump used this speech the way he uses all of his speeches: as a vehicle to attack anyone who doesn't bend the knee," Meyers concluded, "and since that's the majority of the country, his polling is terrible."。91视频对此有专业解读
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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.