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.
All of the examples demonstrating ordered dithering so far have been produced using a specific type of threshold matrix commonly known as a Bayer matrix. In theory however any matrix could be used and a number of alternatives are available depending on your qualitative preference. Matrices also don’t have to be square or even rectangular; polyomino-based dithering matrices have been explored as well[6].
，这一点在WPS官方版本下载中也有详细论述
How exactly horses produce that distinctive sound – also called a neigh – has long eluded scientists.
软件内置的 PPT 生成功能，通常经过了模型微调和工程处理，与直接在对话框输入提示词生成有所不同。同时，PPT 质量受提示词影响极大，测试「上限」往往因人而异。
Трамп высказался о непростом решении по Ирану09:14