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Building a minimum viable diffusion language model can adopt the discrete mask diffusion approach, referencing the MDLM or D3PM framework, where the forward process replaces tokens with [MASK] at timestep-dependent probabilities via a transition matrix.
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9/1/2026
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Unverified离散扩散语言模型主流方案包括：将token映射到连续嵌入空间进行扩散（如Diffusion-LM），或设计离散扩散过程用掩码模拟加噪（如D3PM、MDLM）77% similarUnverifiedDiscrete-space diffusion defines the diffusion process directly on token sequences by introducing a [MASK] token; the forward process progressively replaces real tokens with masks, and the reverse process learns to predict the original masked tokens.64% similarUnverified扩散模型推理速度较慢，通常需要数十步去噪迭代才能生成一张图像，这催生了DDIM、DPM-Solver等加速采样算法63% similarUnverifiedTensorRT-LLM等推理框架在首次运行时需要进行算子融合、精度校准和Kernel自动调优，对大模型可能额外耗时数分钟62% similar
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