But those tricks, I believe, are quite clear to everybody that has worked extensively with automatic programming in the latest months. To think in terms of “what a human would need” is often the best bet, plus a few LLMs specific things, like the forgetting issue after context compaction, the continuous ability to verify it is on the right track, and so forth.
sophisticated, with the host computer able to send configuration information
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最后,智能体还需要有很强的可靠性、可控性,才能规模化的带来价值。这既体现在智能体能否稳定、鲁棒地完成任务,也体现在其行为是否始终与人类的真实意图与价值观保持一致。在《2001:太空漫游》中,AI为完成任务选择牺牲人类乘员,正是目标函数与人类价值未能有效对齐的极端后果。随着智能体智能水平与自主性的提升,这类对齐失败带来的风险可能会被进一步放大。。业内人士推荐91视频作为进阶阅读
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