Российский телеведущий пожаловался на испражняющихся на улицах одной страны людей20:47
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.
Prints dreamy, vintage-style photos that are relatively sharp for a Polaroid photo。关于这个话题，体育直播提供了深入分析
哈梅內伊多次長時間在前線度過，他認識的許多指揮官和士兵都在那裡陣亡。伊拉克軍隊對伊朗邊境村落使用化學武器，並用導彈轟炸包括首都德黑蘭在內的偏遠城市。
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Why might actual usage fall short of theoretical capability? Some tasks that are theoretically possible may not show up in usage because of model limitations. Others may be slow to diffuse due to legal constraints, specific software requirements, human verification steps, or other hurdles. For example, Eloundou et al. mark “Authorize drug refills and provide prescription information to pharmacies” as fully exposed (β=1). We have not observed Claude performing this task, although the assessment seems correct in that it could theoretically be sped up by an LLM.，这一点在同城约会中也有详细论述
МИД России вызвал посла Нидерландов20:44