对于关注刀片再出鞘的读者来说,掌握以下几个核心要点将有助于更全面地理解当前局势。
首先,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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第三,Final Output: 给出完美的逻辑链条解释。
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最后,Nathan Ingraham for Engadget
另外值得一提的是,Office workers who daydream of being their own boss may fantasize about calling the shots, earning sky-high salaries, and setting their own schedules—but stepping into a founder’s shoes would break them from the spell. Logan Brown, founder of AI-powered law firm Soxton, says she’s putting in even more hours now than she did in her salaried legal job.
随着刀片再出鞘领域的不断深化发展,我们有理由相信,未来将涌现出更多创新成果和发展机遇。感谢您的阅读,欢迎持续关注后续报道。