AI
Google Research Unveils R4T to Accelerate Query Fan-Out
Google Research has introduced R4T, a framework that uses reinforcement learning and diffusion models to accelerate query fan-out by 12x to 20x.
September 17, 2026, 09:19 AM·MarkTechPost

Google Research has introduced R4T, a framework that uses reinforcement learning and diffusion models to accelerate query fan-out by 12x to 20x.

A new method called Uno increases LLM throughput by up to 3x by adding diffusion adapters to existing autoregressive models without losing output quality.
