dailyai.report

Nemotron-Labs developed a diffusion-based language model to challenge the standard autoregressive approach. This architecture generates text in parallel rather than token-by-token, aiming for significantly faster inference speeds. While promising, the research focuses on overcoming the inherent difficulty of applying continuous diffusion to discrete text.