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ByteDance's Seed Team Unveils Diffusion Language Model with Inference Speed of 2,146 Tokens per Second
3 day ago /
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Author：小编
On July 31, ByteDance's Seed team introduced an experimental diffusion language model dubbed Seed Diffusion Preview. This model seeks to rigorously validate the viability of the discrete diffusion technical approach as the cornerstone framework for the next generation of language models, specifically targeting structured code generation as its experimental domain. The experimental outcomes reveal that Seed Diffusion Preview attains a remarkable code inference speed of up to 2,146 tokens per second, marking a 5.4-fold acceleration compared to autoregressive models of comparable scale.
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