zetabyte

​Posted by Parker Riley, Software Engineer, and Jan Botha, Research Scientist, Google Research Many languages spoken worldwide cover numerous regional varieties (sometimes called dialects), such as Brazilian and European Portuguese or Mainland and Taiwan Mandarin Chinese. Although such varieties are often mutually intelligible to their… Read More »FRMT: A benchmark for few-shot region-aware machine translation Google AI Google AI Blog

​ Modern model pre-training often calls for larger cluster deployment to reduce time and cost. At the server level, such training workloads demand faster compute and increased memory allocation. As models grow to hundreds of billions of parameters, they require a distributed training mechanism that… Read More »Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters K.C. Tung AWS Machine Learning Blog

​ Posted by the TensorFlow Datasets team Datasets landscape has changed a lot since TensorFlow Datasets (TFDS) was introduced about 4 years ago: TFDS made sharing or re-using a dataset significantly easier, and transformed the datasets landscape by inspiring other ML tools, libraries and services.… Read More »TensorFlow Datasets is turning 4! noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Enterprises across the globe are looking to utilize multiple data sources to implement a unified search experience for their employees and end customers. Considering the large volume of data that needs to be examined and indexed, the retrieval speed, solution scalability, and search performance… Read More »New expanded data format support in Amazon Kendra Rishabh Yadav AWS Machine Learning Blog

​ The video above represents one of the first times that a pangolin, one of the world’s most critically endangered species, was detected in real time using artificial intelligence. A U.K.-based nonprofit called Conservation AI made this possible with the help of NVIDIA technology. Such… Read More »UK’s Conservation AI Makes Huge Leap Detecting Threats to Endangered Species Across the Globe Angie Lee – Archives Page 1 | NVIDIA Blog

​ Amazon SageMaker JumpStart is the machine learning (ML) hub of SageMaker that offers over 350 built-in algorithms, pre-trained models, and pre-built solution templates to help you get started with ML fast. JumpStart provides one-click access to a wide variety of pre-trained models for common… Read More »Implementing MLOps practices with Amazon SageMaker JumpStart pre-trained models Vivek Gangasani AWS Machine Learning Blog

​Posted by Haim Kaplan and Yishay Mansour, Research Scientists, Google Research Differential privacy (DP) machine learning algorithms protect user data by limiting the effect of each data point on an aggregated output with a mathematical guarantee. Intuitively the guarantee implies that changing a single user’s… Read More »FriendlyCore: A novel differentially private aggregation framework Google AI Google AI Blog

​Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’ll Continue reading  Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’llContinue reading  Read More OptiML, Scripting,… Read More »Automated Machine Learning for Imbalanced Data martinprats The Official Blog of BigML.com