As Google steps into a new year, the tech giant’s chief executive made an intriguing remark about the new direction they are headed. In a new video clip making the rounds on social media, Sundar ...

What if the future of text generation wasn’t just faster, but smarter and more adaptable? Enter Gemini Diffusion, a new approach that challenges the long-standing dominance of autoregressive models.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I explore the exciting news that an ...

Researchers combined two types of generative AI models, an autoregressive model and a diffusion model, to create a tool that leverages the best of each model to rapidly generate high-quality images.

General language models use a technique called an autoregressive model, which generates text one token at a time. On the other hand, Gemini Diffusion uses a diffusion model, which is widely used in ...

Google has announced a diffusion model called Gemini Diffusion that can process 1,479 tokens per second, generating content faster than the 'fastest model ever made.' Gemini Diffusion generates text ...

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...