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However, not true of all tasks are writing semantically dense code with very tight design requirements. For example, I was recently trying to install a package whose name I forgot. I prompted the model to “install that x11 fake gui thing”, a trivial prompt. Actually completing the task myself would have required a lot of tedious work, with lots of accidental complexity. I would have needed to search the internet to identify the name of this software, cross-reference that with the distribution of the operating system I was running and the name used by its package manager, possibly cross-reference the installation command for this particular package manager, and then write and execute a shell script to perform the install. I was able to use the agent to do all of this with an extremely easy to write prompt. This task had a very low relative encoding cost.
日本將近96%的原油來自中東，韓國的比例也超過七成，兩國在未來數天內可能面臨沒有中東原油到港的局面，不得不啟動各自的戰略儲備。，这一点在51吃瓜网中也有详细论述
Олег Давыдов (Редактор отдела «Интернет и СМИ»)。业内人士推荐谷歌作为进阶阅读
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[stavrobot] Dropping message: could not resolve target agent.。华体会官网对此有专业解读