ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

1 State Key-Laboratory of Oil and Gas-Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China In ...

Master generative fill for video using After Effects’ Rotobrush! This tutorial shows step-by-step how to seamlessly remove or replace objects in your footage. #AfterEffects #Rotobrush #GenerativeFill ...

Learn how to use generative fill on moving videos in After Effects! This tutorial teaches step-by-step techniques to seamlessly enhance dynamic footage with AI-powered effects. #AfterEffects ...

School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei 230009, China School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we introduce auxiliary discriminator sequence generative adversarial ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...

Abstract: The deep learning ability to recognize patterns in data has recently become popular within education. Created in 2014, generative adversarial networks (GANs) are innovative classes of deep ...

Abstract: Generating time series data using Generative Adversarial Networks (GANs) presents several prevalent challenges, such as slow convergence, information loss in embedding spaces, instability, ...