Gemini Diffusion: The Speed Demon of Text Generation?
2025-05-22
Google's newly released Gemini Diffusion is wowing everyone with its speed; they even slowed down the demo to make it watchable. This article delves into why diffusion models are so fast, contrasting them with traditional autoregressive models (like GPT-4, Claude). Diffusion models generate the entire output at once, rather than token-by-token, enabling parallel generation of correct parts and faster speeds via reduced iterations. However, they're less efficient with long contexts and their reasoning capabilities remain questionable. While diffusion models might use transformers internally, their architecture makes their behavior fundamentally different from autoregressive models.