#diffusion-based open model

Large language models usually generate text one token at a time. While this autoregressive approach delivers strong quality and instruction following, it can be inefficient for local users because GPUs often spend more time moving weights from memory than doing parallel compute. Google DeepMind’s DiffusionGemma takes a different path, generating and refining blocks of tokens […] The post DiffusionGemma: Google’s Diffusion-Based Open Model for Faster Text Generation  appeared first on Analytics Vidhya.