I've been experimenting with the new modeling technique. Unlike standard autoregressive models that follow a strict order, RAR uses randomized paths to significantly improve image generation quality.
Pre-filled bug reports and feature requests. Custom Labels: Organized by priority and team focus.
🧠 New SOTA in Visual Generation: RAR Implementation & Data Body: linear.rar
Depending on what you are sharing, here are two helpful post templates you can use: Option 1: For Project Management (Linear App)
Follow the Linear Import Guide to bring these into your workspace. Hope this helps your team move faster!🛠️ Option 2: For AI & Machine Learning (RAR Modeling) I've been experimenting with the new modeling technique
Includes the logic-ring gradient averaging setup to reduce communication overhead.
Achieve higher structural consistency and color fidelity compared to baseline models. Custom Labels: Organized by priority and team focus
Use this if you are sharing code or datasets related to the visual generation framework, which is a recent advancement in image generation.