「人民越來越窮」：伊朗經濟困境如何改變民眾生活
当前，大模型正快速向具备自主规划能力的「智能体（Agent）」方向演进，AI 需要频繁回顾动辄数万字的上下文，导致系统性能的制约因素已从「算力不足」转变为「数据传输太慢」。。关于这个话题，同城约会提供了深入分析
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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.
2024年12月25日 星期三 新京报