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.
Speaker Diarization (Sortformer 117M)
。关于这个话题，下载安装 谷歌浏览器 开启极速安全的 上网之旅。提供了深入分析
庞若鸣曾被视为“苹果AI脊梁”的核心天才，他在Meta的工位还没坐热，就决定放弃那份令人咋舌的过亿期权激励，毅然转身投奔奥特曼麾下。
Трамп назвал Роберта Де Ниро больным и глупымТрамп ответил на критику со стороны актера Де Ниро, назвав его больным и глупым
Why are fish at risk?