​ NLP and computer vision are two areas where the transformer neural network design significantly influences. Transformers are currently utilized in sizable, actual systems accessed by hundreds of millions of users (e.g., Stable Diffusion, ChatGPT, Microsoft Copilot). The reasons underlying this accomplishment are still partly… Read More »Meet AttentionViz: An Interactive Visualisation Tool to Examine the Concepts of Attention in Both Language and Vision Transformers Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Posted by Thad Starner (Professor, Georgia Tech and Staff Research Scientist, Google), Sam Sepah (ML Research Program Manager), Manfred Georg (Software Engineer, Google), Mark Sherwood (Senior Product Manager, Google), Glenn Cameron (Product Marketing Manager, Google) Over 70 million deaf people around the world use… Read More »American Sign Language Fingerspelling Recognition noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ As a medical doctor in Nigeria, Tobi Olatunji knows the stress of practicing in Africa’s busy hospitals. As a machine-learning scientist, he has a prescription for it. “I worked at one of West Africa’s largest hospitals, where I would routinely see more than 30… Read More »Startup’s AI Slashes Paperwork for Doctors Across Africa Fatima Tambajang – Archives Page 1 | NVIDIA Blog

​ The idea on which vision-language fundamental models are constructed is that a single pre-training can be used to adapt to a wide variety of downstream activities. There are two widely used but distinct training scenarios:  Contrastive learning in the style of CLIP. It trains… Read More »Google AI Introduces MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

​ What are machine learning modes? Explain each one in detail. Machine learning is an integral part of the world of artificial intelligence and has opened up new possibilities for businesses, industries, and society as a whole. Machine learning models are algorithms that enable computers… Read More »Machine Learning Models Narender Kumar Spark By {Examples}

​ Image generation has come a long way in the last year. The saga began with the release of Stable Diffusion, and its success has attracted the attention of researchers from different domains to advance it even further. It is now possible to generate photo-realistic… Read More »Divide, Train, and Generate: Patch Diffusion is an AI Approach to Make Training Diffusion Models Faster and More Data-Efficient Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ Explain the difference between linear regression and polynomial regression. Regression analysis is a statistical tool that is used to examine the relationship between a dependent variable and one or more independent variables. Linear regression is one of the most widely used regression techniques that… Read More »Difference Between Linear Regression and Polynomial Regression Narender Kumar Spark By {Examples}

​ State-of-the-art large language models (LLMs), including BERT, GPT-2, BART, T5, GPT-3, and GPT-4, have been developed as a result of recent advances in machine learning, notably in the area of natural language processing (NLP). These models have been effectively used for various tasks, including… Read More »Meet Prompt Diffusion: An AI Framework For Enabling In-Context Learning In Diffusion-Based Generative Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost