{"version":"1.0","generated_at":"2026-09-27T14:56:41.419740","id":2294,"slug":"google-s-diffusiongemma-proves-you-don-t-need-to-train-from-scratch-to-build-a-text-diffusion-model","title":"谷歌的DiffusionGemma证明构建文本扩散模型无需从头训练","summary":"谷歌DeepMind发布DiffusionGemma技术报告，展示如何将现有Gemma模型改装为扩散模型，无需从头训练，生成速度大幅提升，但绝对性能有所下降。","abstract":"谷歌的DiffusionGemma证明构建文本扩散模型无需从头训练 谷歌DeepMind发布DiffusionGemma技术报告，展示如何将现有Gemma模型改装为扩散模型，无需从头训练，生成速度大幅提升，但绝对性能有所下降。 谷歌DeepMind发布DiffusionGemma技术报告，展示如何将现有Gemma模型改装为扩散模型，无需从头训练，生成速度大幅提升，但绝对性能有所下降。 原贴提到：Instead of training a new model from scratch, Google DeepMind retrofitte 来源：the-decoder.com 谷歌DeepMind没有从头训练新模型，而是将Gemma 4改装成了扩散模型。新发表的报告解释了其工作原理及权衡之处。谷歌DeepMind于6月中旬发布了DiffusionGemma模型，如今又发布了技术报告。与逐一生成token的标准语言模型不同，DiffusionGemma并行精炼256个token的块，类似于图像AI从噪声中生成图片。在Nvidia H100加速器上，该模型每秒可处理约1500个token。从头构建新模型并非必要。研究团队从现有的Gemma-4-26B-A4B出发，将其转换为扩散模型，据报告称，使用的训练token预算不足原始预算的10%。在两个步骤中的第一步，模型学习从示例数据中重建有噪声的文本块。接下来是强化学习和采样器蒸馏的结合阶段，谷歌称之为SD·RL。强化学习通常提升答案质量，而采样器蒸馏让模型以更少的计算步骤完成。谷歌将两者合并为一个过程。据报告称，这种结合方法在推理基准…","access_level":"member","access_label":"免费阅读","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/2294/google-s-diffusiongemma-proves-you-don-t-need-to-train-from-scratch-to-build-a-text-diffusion-model","html_url":"https://opc.beizhux.com/content/2294/google-s-diffusiongemma-proves-you-don-t-need-to-train-from-scratch-to-build-a-text-diffusion-model","json_url":"https://opc.beizhux.com/content/2294/google-s-diffusiongemma-proves-you-don-t-need-to-train-from-scratch-to-build-a-text-diffusion-model.json","published_at":"2026-08-09T18:01:26","updated_at":"2026-09-27T14:08:16","category":{"slug":"ai-business","name":"AI小生意项目库"},"source":{"site":"the-decoder.com","author":"Jonathan 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关联原因：这篇内容命中「项目、小生意、变现」等主题信号。；这篇内容命中「效率、学习」等主题信号。；这篇内容命中「模型」等主题信号。"},{"question":"阅读这篇文章建议先理解哪些关键词？","answer":"建议先理解AI工具、工具、自动化、模型、Cursor这些关键词，再结合正文判断工具、机会或风险是否值得进入自己的工作流。"}],"terms":[{"slug":"ai-tools-term","name":"AI工具","definition":"在AI觉醒星球里，「AI工具」属于「AI工具」方向。围绕AI工具、模型能力、自动化流程和真实使用场景做整理，优先关注能提升效率、降低成本和创造新交付的工具。 不只看工具热度，更看它能不能进入真实流程。","topic_slug":"ai-tools","topic_name":"AI工具","topic_title":"AI工具：模型、插件、自动化与实战场景","topic_url":"https://opc.beizhux.com/topics/ai-tools","topic_path":"/topics/ai-tools","url":"https://opc.beizhux.com/glossary/ai-tools-term","path":"/glossary/ai-tools-term","json_url":"https://opc.beizhux.com/glossary/ai-tools-term.json"},{"slug":"tools","name":"工具","definition":"在AI觉醒星球里，「工具」属于「AI工具」方向。围绕AI工具、模型能力、自动化流程和真实使用场景做整理，优先关注能提升效率、降低成本和创造新交付的工具。 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