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.
“Once the material has been fed into the models, the user in practice loses control over how it is used,” Sardeli says.。业内人士推荐safew官方下载作为进阶阅读
，更多细节参见同城约会
Solving the problem with VCaaS
Ранее сообщалось, что ВСУ ведут подготовку к возможному весеннему контрнаступлению около Белгородской области. Костяк украинской группировки состоит из иностранных наемников из Перу, Китая, Бразилии, Чехии, Тайваня и США.。体育直播对此有专业解读