这种“认得出、干得了”的能力，来自中科第五纪的技术团队。
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.
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伴随AI人工智能的迅猛发展，全球XR市场有望迎来关键扩容。无论是XR终端市场份额争夺，还是深入参与核心供应链，具备强劲竞争实力的中国企业或均将迎来爆发式机遇。（作者｜郭虹妘，编辑｜陶天宇）。谷歌浏览器【最新下载地址】对此有专业解读