邁向光速文本生成：NVIDIA Nemotron-Labs 推出擴散語言模型 (Diffusion Language Models)
Original: Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models
Traditional large language models (such as GPT, Claude, and others) all use an "autoregressive" mechanism — that is, they must predict the…
NVIDIA Nemotron-Labs 發表全新擴散語言模型（Diffusion Language Models），旨在解決傳統自迴歸模型逐字生成的效能瓶頸。 該技術利用類似影像生成的擴散機制，在文本生成中實現高度並行化，大幅提升推論速度。 此研究展示了非自迴歸模型在維持文本品質的同時，實現「光速般」超高吞吐量生成的新路徑。
Traditional large language models (such as GPT, Claude, and others) all use an "autoregressive" mechanism — that is, they must predict the next token based on the previous one. While this token-by-token generation approach delivers excellent results, it faces physical constraints in inference speed and throughput, making truly parallel computation difficult to achieve.
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