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.
OpenAI’s investigators were able to match descriptions from the ChatGPT user with real-world online activity and impact. The user described an effort to fake the death of a Chinese dissident by creating a phony obituary and photos of a gravestone and posting them online. False rumors of the dissident’s death did indeed surfaced online in 2023, according to a Chinese-language Voice of America article.
。关于这个话题，夫子提供了深入分析
当前，云耀深维的技术已成功应用于医疗、消费电子领域，服务了数百家客户，并进一步在具身机器人等新兴领域拓展，提供精密部件智能制造的全新解决方案。
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The locking problem