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Observation of vortex-pair dance and oscillation | 2412.06634 | Observation of vortex-pair dance and oscillation
Dadong Liu,1 Lai Chen,1 Li-Gang Wang 1,*
1 School of Physics, Zhejiang University, Hangzhou 310058, China * Corresponding author. E-mail address: [email protected] (L.-G. Wang).
Abstract
Vortex dynamics, which encompass the motion, evolution, and propagation of vortices,... | The article "Observation of vortex-pair dance and oscillation" by Dadong Liu, Lai Chen, and Li-Gang Wang explores the dynamics of vortex-pair beams (VPBs) in the context of optical vortices. The study investigates pure-phase vortex-pair beams (PPVPBs), revealing unique behaviors such as helical and intertwined motions,... | vortex dynamics,fluid dynamics,optics,vortex-pair beams,helical behavior,oscillation,intervortex distance,physics |
PaliGemma 2: A Family of Versatile VLMs for Transfer | 2412.03555 | 4 2 0 2 c e D 4
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PaliGemma 2: A Family of Versatile VLMs for Transfer Andreas Steiner*, , Andr Susano Pinto*, Michael Tschannen*, Daniel Keysers, Xiao Wang, Yonatan Bitton, Alexey Gritsenko, Matthias Minderer, Anthony Sherbondy, Shangbang Long, Siyang Qin, R... | The article discusses "PaliGemma 2," an enhanced version of the PaliGemma vision-language model (VLM) developed by Google DeepMind. This upgrade integrates the SigLIP-So400m vision encoder with the Gemma 2 family of language models, resulting in a versatile set of models optimized for various vision-language tasks.
Ke... | PaliGemma,Vision-Language Models,VLM,Transfer Learning,Deep Learning,Language Models,Computer Vision,Fine-tuning |
The Llama 3 Herd of Models | 2407.21783 | 4 2 0 2
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The Llama 3 Herd of Models Llama Team, AI @ Meta1 1A detailed contributor list can be found in the appendix of this paper.
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models,... | The article presents the Llama 3 models, developed by the Llama Team at Meta, which are advanced foundation models for language processing. The Llama 3 models, with the largest variant having 405 billion parameters and supporting a context window of up to 128K tokens, excel in multilingual capabilities, coding, reasoni... | Llama 3,foundation models,language models,AI,multilinguality,Transformer,GPT-4,machine learning |
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