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.
Inside the main building, a large glass globe was perched on a steel stand. It was filled with an iridescent blue liquid that moved in ever more complicated patterns when I spun the globe, like clouds above a rotating planet. It was meant to show the chaotic nature of the atmosphere, but it was a drastic oversimplification. On Earth, air heats and rises along the equator as the planet turns, then cools and sinks when it reaches the poles. Mountains and valleys shape the paths of the wind; volcanoes scorch the air and shade it with their ash; ocean currents absorb heat and then evaporate into the sky, churning the air with their vapors. And, everywhere, warm and cold fronts rub against each other, setting off still more swirling changes. To truly capture that complexity, I would have had to shake the ball like a snow globe.,详情可参考服务器推荐
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此外,有消息称DeepSeek近期将发布其最新大模型V4,原生支持图片、视频与文本生成功能。这是DeepSeek自2025年1月推出R1推理模型以来的首个重大版本更新,有望进一步填补国内低成本、开源模型的市场需求。