Фото: MOD Russia / Global Look Press
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.
It got under way in 2022 and its final report is not expected until 2027. It has already cost £192m – a figure which is expected to rise past £200m by the time it is finished, making it one of the most expensive public inquiries in history.，推荐阅读WPS下载最新地址获取更多信息
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This is a complicated technical and social problem, with no single solution. We also have competing priorities for what is the most important problem with WebAssembly to fix first.
[새로 나왔어요]수학자가 알려주는 증명의 함정 外。业内人士推荐搜狗输入法2026作为进阶阅读