Society is going cashless. While convenient for consumers, that’s caused a drastic decrease in income for tipped workers and this is the problem TackPay addresses. TackPay is a mobile platform that allows users to send, receive and manage tips in a completely digital way, providing tipped workers with a virtual tip jar that makes it …
Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the amazing advances in machine learning (ML) and quantum computing, we …
Read more “Google Research, 2022 & beyond: Natural sciences”
After you build, train, and evaluate your machine learning (ML) model to ensure it’s solving the intended business problem proposed, you want to deploy that model to enable decision-making in business operations. Models that support business-critical functions are deployed to a production environment where a model release strategy is put in place. Given the nature …
Each day, more documents are created and used across companies to make decisions. However, the value in these documents is primarily expressed as unstructured data, which makes the value difficult and manually intensive to extract and use for business processes. As the number and variety of documents used by businesses proliferate, machine learning (ML) solutions …
In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models in Amazon SageMaker JumpStart. Stable Diffusion is a deep learning model that allows you to generate realistic, high-quality images and stunning art in just a few seconds. Although creating impressive images can find use in industries ranging from …
Read more “Fine-tune text-to-image Stable Diffusion models with Amazon SageMaker JumpStart”
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 speakers, there are still important differences. For example, the Brazilian …
Read more “FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation”
Machine learning (ML) practitioners using PyTorch tell us that it can be challenging to advance their ML project beyond experimentation. That’s why over the last year, we’ve prioritized development workthat makes it easier for PyTorch users to deploy models in the cloud using Vertex AI. Vertex AI is a fully-managed machine learning platform with tools, …
Read more “Serving PyTorch models with prebuilt containers on Vertex AI”
We’re clarifying how ChatGPT’s behavior is shaped and our plans for improving that behavior, allowing more user customization, and getting more public input into our decision-making in these areas. OpenAI’s mission is to ensure that artificial general intelligence (AGI)[1] benefits all of humanity. We therefore think a lot about the behavior of AI systems we …
Read more “How should AI systems behave, and who should decide?”
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 spans multiple nodes (instances). In October 2022, we launched Amazon EC2 …
Read more “Scaling Large Language Model (LLM) training with Amazon EC2 Trn1 UltraClusters”
We are increasingly seeing one question arise in virtually every customer conversation: How can the organization save costs and drive new revenue streams? Everyone would love a crystal ball, but what you may not realize is that you already have one. It’s in your data. By leveraging Data Cloud and AI solutions, you can put …
Read more “8 ways to cut costs and drive profits using data and AI”