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.
Дания захотела отказать в убежище украинцам призывного возраста09:44
，详情可参考快连下载-Letsvpn下载
Although I could push these new libraries to GitHub now, machine learning algorithms are understandably a domain which requires extra care and testing. It would be arrogant to port Python’s scikit-learn — the gold standard of data science and machine learning libraries — to Rust with all the features that implies.。爱思助手下载最新版本对此有专业解读
持之以恒筑牢根基，确保长久守牢不发生规模性返贫致贫底线——。关于这个话题，WPS下载最新地址提供了深入分析
Что думаешь? Оцени!