| | Introducing Self-Forcing, a new paradigm for training autoregressive diffusion models. The key to high quality? Simulate the inference process during training by unrolling transformers with KV caching. project website: https://self-forcing.github.io Code/models: https://github.com/guandeh17/Self-Forcing Source: https://x.com/xunhuang1995/status/1932107954574275059?t=Zh6axAeHtYJ8KRPTeK1T7g&s=19 submitted by /u/cjsalva |
The companies’ Fourth of July plans include celebrating new reactor designs coming online. But there’s…
Compression on Arrival Tool outputs should be compressed after a call returns, not after the…
I’ve been quiet since November because I’ve been building.Over the past few months, AI has…
Multi-agent LLM systems are increasingly deployed as autonomous collaborators, where agents interact freely rather than…
Editor’s Note: This is the fourth post in a series exploring how Palantir customizes infrastructure…
Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a…