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English(EN) What's the next big breakthrough after attention mechanism? My bet is not on Engrams.

AI 研究员推测输入相关参数是下一个突破点

一位 Reddit 用户正在推测,在注意力机制产生影响之后,AI 模型架构的下一个重大突破可能是什么。他们提出,未来的进步可能涉及模型中很大一部分参数是输入相关的,能够即时生成“快速权重”。这种方法,可能与 DeepSeek 的 Engram 等机制相结合,可能导致更小、更智能、功能更强的模型。 AI

影响 对未来 AI 架构的推测可能会影响模型开发者的研究方向。

排序理由 该集群包含用户在 Reddit 上发布的关于未来 AI 架构的推测性帖子,而非主要发布或公告。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI 研究员推测输入相关参数是下一个突破点

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该集群包含用户在 Reddit 上发布的关于未来 AI 架构的推测性帖子,而非主要发布或公告。
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报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/SrijSriv211 ·

    注意力机制之后的下一个重大突破是什么?我打赌不是Engrams。

    <!-- SC_OFF --><div class="md"><p>Hi everyone, I've been thinking about this for a while now. The attention mechanism introduced by Google in 2017 completely changed that way AI models worked and performed.</p> <p>Since the attention mech allows the model look at it's inputs and …