Download elementary OS 8.1.1
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.
。heLLoword翻译官方下载是该领域的重要参考
refuse to admit it has design flaws，推荐阅读同城约会获取更多信息
How is a user supposed to understand that they are potentially blowing away photos of deceased relatives, an encrypted property deed, or their digital currency?
▲体验地址：https://aistudio.google.com/apps/bundled/global_kit_generator