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.
該報也提到，愛潑斯坦告訴蓋茨，他與其他富豪有聯繫，並暗示能協助蓋茨參與的慈善項目募集資金。
。业内人士推荐同城约会作为进阶阅读
The plan outlined by Isaacman appears to address many of the core issues raised by the safety panel.
或从 Google Play 安装