Yorkshire plant has been criticised for taking material from some of British Columbia’s most environmentally important forests
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.
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Раскрыты подробности о договорных матчах в российском футболе18:01
這個熱潮在TikTok上快速吸引到2000多萬瀏覽，數萬人參與，並逐漸蔓延到其它平台上成為一個現象。