1. INTRODUCTION AND BACKGROUND Although Deep Learning has enjoyed tremendous success and growth in recentyears, it continues to be costly and time consuming. Computations in deep learning are so intensive that a suite of hardware processors has been adapted or...
In the rapidly evolving landscape of AI and Machine Learning, it is crucial to choose tools that not only meet technical requirements but also provide seamless user experiences. At Lumina, we offer two robust options: PrismRCL™, our Windows-based application, and our...
Join Lumina in congratulating Daniella Diaz in her promotion from Director of Customer Experience to VP, Revenue & Marketing. “We are elated to have Daniella take on this new role and lead our revenue and marketing strategies. Her deep understanding of our...
April 21, 2022 Authored by: Dr. Morten Middelfart, Sam Martin, and Ben Martin Abstract In this paper, we demonstrate that RCL scales sublinearly with dataset size and linearly with compute. We also indicate how RCL both differs from transformer architecture and...
February 16, 2022 Authored by: Dr. Morten Middelfart, Sam Martin, and Ben Martin Abstract In this paper, we demonstrate that, compared to deep learning, random contrast learning (RCL) produces unsupervised language models with faster training, faster inference, and...
Important PrismRCL Update: Model Compatibility and Dual Version Support - Retain your existing models and explore 2.4.x features! Learn more about your options.