all AI news
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models
March 25, 2024, 4:47 a.m. | Fernanda De La Torre, Cathy Mengying Fang, Han Huang, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier
cs.CL updates on arXiv.org arxiv.org
Abstract: We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time creation and modification of interactive Mixed Reality experiences using LLMs. LLMR leverages novel strategies to tackle difficult cases where ideal training data is scarce, or where the design goal requires the synthesis of internal dynamics, intuitive analysis, or advanced interactivity. Our framework relies on text interaction and the Unity game engine. By incorporating techniques for scene understanding, task planning, self-debugging, and …
abstract arxiv cases cs.ai cs.cl cs.et cs.hc data design framework interactive language language model language models large language large language model large language models llms mixed mixed reality novel prompting reality real-time strategies training training data type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior ML Engineer
@ Carousell Group | Ho Chi Minh City, Vietnam
Data and Insight Analyst
@ Cotiviti | Remote, United States