Fortinet (4 days)
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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同时，魅族宣布将暂停国内手机新产品自研硬件项目，并在积极接洽第三方硬件合作伙伴，同时原有业务不受任何影响。魅族称将积极的全面战略转型，在全新的 AI 时代，从过去以硬件为主导转向为以 AI 驱动软件产品为主导的发展方向，并打造以 Flyme 开放生态系统为基座的良性运转的企业。