dailyai.report

DiffusionGemma generates text four times faster than standard autoregressive models by predicting all tokens simultaneously. This approach replaces sequential processing with a diffusion-based framework. While it maintains high quality on short-form tasks, it struggles with long-form coherence. Researchers can now explore non-linear generation to bypass the traditional token-by-token bottleneck in LLM inference.