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English(EN) Are there any interesting architectural innovations that we seem to be on the verge of for LLM models or AI models that might be a big deal? (Excluding maybe N-gram, since everyone is already well aware of that one)

讨论了Transformer之外的人工智能模型架构创新

作者 PulseAugur 编辑部 · [1 个来源] ·

Reddit的r/LocalLLaMA论坛上的一场讨论，探讨了在N-gram和量化等广为人知的进展之外，人工智能模型潜在的架构创新。用户正在寻求关于大型语言模型或其他人工智能架构可能代表重大未来发展的根本性变革的见解。人们对Mamba类架构作为传统Transformer的替代方案表现出特别的兴趣，并呼吁解释其潜力和其他激进的理论化变革。 AI

影响 探讨了当前Transformer主导地位之外，人工智能模型潜在的未来架构转变。

排序理由 关于潜在未来人工智能架构的讨论论坛帖子。

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 →

讨论了Transformer之外的人工智能模型架构创新

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关于潜在未来人工智能架构的讨论论坛帖子。
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报道来源 [1]

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

    在大型语言模型或人工智能模型方面，我们是否即将迎来一些可能意义重大的、有趣的架构创新？（或许排除N-gram，因为大家都已经很清楚了）

    <!-- SC_OFF --><div class="md"><p>So, ideally for this thread we exclude the ones that everyone on here is already well aware of and discussing on here a lot, like N-gram, quantization improvements, MTP, D-flash, and D-spark, since those are improvement areas that most people on …

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