dailyai.report

DiffusionGemma generates text four times faster than standard autoregressive models. It replaces token-by-token prediction with a diffusion process to produce high-quality sequences in parallel. This shift reduces latency for real-time applications. Google DeepMind researchers demonstrate that this architecture maintains performance while slashing compute costs for large-scale inference tasks.