Feb. 26, 2024, 5:42 a.m. | Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.15391v1 Announce Type: new
Abstract: We introduce Genie, the first generative interactive environment trained in an unsupervised manner from unlabelled Internet videos. The model can be prompted to generate an endless variety of action-controllable virtual worlds described through text, synthetic images, photographs, and even sketches. At 11B parameters, Genie can be considered a foundation world model. It is comprised of a spatiotemporal video tokenizer, an autoregressive dynamics model, and a simple and scalable latent action model. Genie enables users to …

abstract arxiv cs.ai cs.cv cs.lg environment environments foundation generate generative genie images interactive internet parameters photographs synthetic text through type unsupervised videos virtual virtual worlds world

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

Sr. Data Operations

@ Carousell Group | West Jakarta, Indonesia

Senior Analyst, Business Intelligence & Reporting

@ Deutsche Bank | Bucharest

Business Intelligence Subject Matter Expert (SME) - Assistant Vice President

@ Deutsche Bank | Cary, 3000 CentreGreen Way

Enterprise Business Intelligence Specialist

@ NAIC | Kansas City

Senior Business Intelligence (BI) Developer - Associate

@ Deutsche Bank | Cary, 3000 CentreGreen Way