白宫“电费承诺”引爆全球AI能源博弈

· · 来源:util资讯

Раскрыты подробности похищения ребенка в Смоленске09:27

Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08

张又侠暂未被罢免雷电模拟器官方版本下载是该领域的重要参考

居民自治章程、居民公约以及居民会议或者居民代表会议的决定违反前款规定的,由不设区的市、市辖区的人民政府或者街道办事处责令改正。

据人民财讯报道,昨天,华为董事长梁华在 2026 广东省高质量发展大会上透露,2025 年华为销售收入超过 8800 亿元人民币。

В Германии

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.