I’ve compiled my training scripts and a subset of the latent space tokenizer data into this file (named "linear" for its focus on linear-scaling communication efficiency in distributed training). Key Highlights:
Just wrapped up a new workspace setup in and wanted to share the structure I'm using to keep our dev team on track. linear.rar
🧠 New SOTA in Visual Generation: RAR Implementation & Data Body: I’ve compiled my training scripts and a subset
I’ve exported our core issue templates, labels, and cycle settings into this file. It’s designed for small-to-medium teams looking for a clean, "opinionated" workflow that cuts out the noise of Jira. Inside this archive: It’s designed for small-to-medium teams looking for a
Use this if you are sharing a backup or a set of exported issues/workflow settings from the Linear project management tool .
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.