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.
Challenge: Build the smallest transformer that can add two 10-digit numbers with = 99% accuracy on a held-out 10K test set.
«Мы требуем, чтобы англичане отказались [от планов передачи оружия массового поражения Украине], если такие планы у них имеются... Это конфронтация уже на ядерном уровне», — подчеркнул дипломат.，这一点在谷歌浏览器【最新下载地址】中也有详细论述
11 hours agoShareSave，详情可参考safew官方下载
The number of data centres, like this Google facility in Hertfordshire, is increasing，详情可参考WPS下载最新地址
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54