cp .env.example .env
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.
。91视频是该领域的重要参考
以腾讯为例，去年4月就发布了《腾讯元宝使用指南》，详细介绍了元宝针对银发人群推出的字体调大、科普辟谣、聊天方言等适老化功能，腾讯还内测了专为中老年人设计的AI教学App“时光易点”。
Unity 或考虑出售中国业务
，详情可参考同城约会
“主动按下的暂停键， 是为了集中资源让 Flyme 软件生态能力，以更开放的姿态为更多场景、更多行业、更多企业、更多品牌的智能设备提供系统生态赋能，让魅族 Flyme 的极致体验触达更多用户。”
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