Offer ends March 13.
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.
。搜狗输入法下载是该领域的重要参考
strict.writer.write(chunk5); // throws! too many pending writes。WPS下载最新地址是该领域的重要参考
BBC事實查核在2024美國大選前，也調查了關於非法移民投票的相關指控，研究再次顯示此類案例非常罕見。