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Oracle agent memory system slashes token use, boosts LongMemEval accuracy

研究人员开发了一种新的Oracle代理记忆系统,该系统显著减少了令牌使用量。该系统在LongMemEval基准测试中达到了93.8%的准确率,与传统的扁平历史基线相比,使用的令牌数量减少了10.7倍。研究结果在最近一篇关于长时程AI代理的arXiv预印本中有所详细介绍。 AI

影响 代理记忆方面的这项进展可能带来更高效、更强大的长时程任务AI系统。

排序理由 该集群报道了一篇关于AI代理记忆新颖技术方法的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Oracle agent memory system slashes token use, boosts LongMemEval accuracy

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该集群报道了一篇关于AI代理记忆新颖技术方法的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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  1. Mastodon — mastodon.social TIER_1 English(EN) · notatechguy ·

    Oracle 代理内存将 token 使用量减少 10.7 倍 Oracle 代理内存,在 LongMemEval 上达到 93.8%,比扁平历史基线少 10.7 倍 token,根据一份新的 arXiv 预印本

    Oracle agent memory cuts token use 10.7x Oracle agent memory hits 93.8% on LongMemEval with 10.7x fewer tokens than flat-history baselines, per a new arXiv preprint on long-horizon AI agents. https://www. notatechguy.com/oracle-agent-m emory-cuts-token-use-10-7x/ # NotATechGuy # …