DiffusionGemma: Google’s Diffusion-Based Open Model for Faster Text Generation
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 Analy...
Original Source
Read the full article at Analyticsvidhya →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.