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Interrupting encoder training in diffusion models enables more efficient generative AI
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...
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拆解 Transformer 的 “隐形大佬”：前馈神经网络（FFN）核心精讲
你以为 Transformer 的核心是注意力机制？其实真正撑起表达力的，是那个常被忽略的“隐形大佬”——前馈神经网络（FFN）。本文系统拆解 FFN 的结构逻辑、参数设计与表达能力，揭示它在 Transformer ...
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