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English(EN) Encrypted AI inference: layer-parallel cuts bootstraps 2.65× New preprint cuts encrypted Transformer bootstraps 2.65× with 1.2% perplexity cost, bringing privac

新研究探讨控制大语言模型个性与增强加密AI推理

一篇新的arXiv论文详细介绍了一种使用低秩适配器映射和控制大语言模型个性特征的方法。该技术可以调整神经质和宜人性等特征,并对AI安全产生可衡量的影响。另外,一篇预印本引入了加密AI推理的层并行切分方法,可以将计算速度提高2.65倍,同时困惑度成本极低,可能使私有AI更加实用。 AI

影响 这些进展可能带来更可控、更安全的AI模型,以及更私密的AI推理能力。

排序理由 该集群包含两篇预印本,讨论了大语言模型控制和加密AI推理方面的新研究。

在 Mastodon — fosstodon.org 阅读 →

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新研究探讨控制大语言模型个性与增强加密AI推理

报道来源 [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    LLM personality traits mapped and controlled in weight space New arXiv paper shows low-rank adapters can dial up or suppress AI model personality traits like ne

    LLM personality traits mapped and controlled in weight space New arXiv paper shows low-rank adapters can dial up or suppress AI model personality traits like neuroticism and agreeableness, with measurable effects on safet https://www. notatechguy.com/llm-personalit y-traits-mappe…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Encrypted AI inference: layer-parallel cuts bootstraps 2.65× New preprint cuts encrypted Transformer bootstraps 2.65× with 1.2% perplexity cost, bringing privac

    Encrypted AI inference: layer-parallel cuts bootstraps 2.65× New preprint cuts encrypted Transformer bootstraps 2.65× with 1.2% perplexity cost, bringing privacy-preserving AI inference closer to practical real-world depl https://www. notatechguy.com/encrypted-ai-i nference-layer…