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)
看脱贫地区,“产业普遍搞起来了,但技术、资金、人才、市场等支撑还不强”。。关于这个话题,51吃瓜提供了深入分析
在看不见的地方,零跑还埋了一些隐性的成本。A10 配备了同价位唯一的爆胎稳定控制系统和底盘运动融合控制技术。在高速爆胎或低附着力路面,底盘域控制器会毫秒级介入,通过调整电机扭矩和制动力来稳住车身姿态。,这一点在快连下载安装中也有详细论述
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